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Journal Papers

  1. P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, and J. Choupan, "A Novel Real-Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM," International Journal of Computer Applications, vol. 27, no. 1, pp. 47-53, August 2011. Published by Foundation of Computer Science, New York, USA.

  2. P. Ghamisi, "A Novel Method for Segmentation of Remote Sensing Images based on Hybrid GA-PSO," International Journal of Computer Applications, vol. 29, no. 2, pp. 7-14, September 2011. Published by Foundation of Computer Science, New York, USA.

  3. F. Sepehrband, P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, and J. Choupan, "Efficient Adaptive Lossless Compression of Hyperspectral Data Using Enhanced DPCM," International Journal of Computer Applications, vol. 35, no. 4, pp. 6-11, December 2011. Published by Foundation of Computer Science, New York, USA.

  4. P. Ghamisi, F. Sepehrband, L. Kumar, M. S. Couceiro, and Fernando M. L. Martins, "A New Method for Compression of Remote Sensing Images Based on Enhanced Differential Pulse Code Modulation Transformation," Science Asia, vol. 39, no. 5, pp. 449-455, 2013.

  5. P. Ghamisi, M. S. Couceiro, J. A. Benediktsson, and N. M. F. Ferreira, "An Efficient Method for Segmentation of Images Based on Fractional Calculus and Natural Selection," Expert Systems With Applications, vol. 39, no. 16, pp. 12407-12417, Nov. 2012 [code].

  6. P. Ghamisi, M. S. Couceiro, F. M. L. Martins, and J. A. Benediktsson, "Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 5, pp. 2382-2394, May 2014 [code].

  7. P. Ghamisi, M. S. Couceiro, M. Fauvel, and J. A. Benediktsson, "Integration of Segmentation Techniques for Classification of Hyperspectral Images," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 342-346, Jan. 2014.

  8. P. Ghamisi, J. A. Benediktsson, and M. O. Ulfarsson, "Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 5, pp. 2565-2574, May 2014 [code].

  9. P. Ghamisi, J. A. Benediktsson, and J. R. Sveinsson, "Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 9, pp. 5771-5782, Dec. 2014.

  10. P. Ghamisi, J. A. Benediktsson, G. Cavallaro, and A. Plaza, "Automatic Framework for Spectral{Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2147 - 2160, Jun. 2014.

  11. P. Ghamisi and J. A. Benediktsson, "Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization," IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 2, pp. 309-313, Jul. 2015.

  12. P. Ghamisi, M. Dalla Mura, and J. A. Benediktsson, "A Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2335-2353, May 2015 [Selected as Highly Cited Paper by Web of Science].

  13. P. Ghamisi, M. S. Couceiro, and J. A. Benediktsson, "A Novel Feature Selection Approach Based on FODPSO and SVM," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2935-2947, May 2015 [code].

  14. S. K. Nahavandi, P. Ghamisi, L. Kumar, and M. S. Couceiro, "A Novel Adaptive Compression Technique for Dealing with Corrupt Bands and High Levels of Band Correlations in Hyperspectral Images based on Binary Hybrid GAPSO for Big Data Compression," International Journal of Computer Applications, vol. 109, no. 8, pp. 18-25, January 2015.

  15. P. Ghamisi, A. ALi, M. S. Couceiro, and J. A. Benediktsson, "A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2447 - 2456, 2015.

  16. P. Ghamisi, J. A. Benediktsson, and S. Phinn, P. Ghamisi, J. A. Benediktsson, and S. Phinn, "Landcover classication using both hyperspectral and LiDAR data," International Journal of Image and Data Fusion, vol. 6, no. 3, pp. 189215, 2015.

  17. P. Ghamisi, R. Souza, J. A. Benediktsson, X. X. Zhu, L. Rittner, and R. Lotufo, "Extinction Profies for the Classification of Remote Sensing Data," IEEE Transactions on Geoscience and Remote Sensing, vol.54, no.10, pp.5631 - 5645, 2016 [The most popular paper published by IEEE TGRS in July, August, and September 2016] [code] .

  18. Y. Chen, H. Jiang, C. Li, X. Jia, and P. Ghamisi, "Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 6232-6251, Oct. 2016 [The most popular paper published by IEEE TGRS in October, November, and December 2016] [Selected as Highly Cited Paper by Web of Science] [Winner of the IEEE Geoscience and Remote Sensing Society 2020 Highest-Impact Paper Award].

  19. P. Ghamisi, Y. Chen, and X. X. Zhu, "A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data," IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 10, pp. 1537 - 1541, Oct. 2016 [The most popular paper published by IEEE GRSL in October and November 2016].

  20. P. Ghamisi, R. Souza, J. A. Benediktsson, L. Rittner, R. Lotufo, and X. X. Zhu, "Hyperspectral Data Classification Using Extended Extinction Profile," IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 11, pp. 1641-1645, Nov. 2016.

  21. Y. Chen, S. Ma, X. Chen, and P. Ghamisi, "Hyperspectral Data Clustering Based on Density Analysis Ensemble," Remote Sensing Letters, vol. 8, no. 2, pp. 194-203, 2017.

  22. P. Ghamisi, J. Plaza, Y. Chen, J. Li, and A. Plaza, "Advanced Spectral Classifiers for Hyperspectral Images: A Review," IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 1, pp. 8-32, 2017.

  23. P. Ghamisi, G. Cavallaro, D. Wu, Jon Atli Benediktsson, and A. Plaza, "Fusion of LiDAR and Hyperspectral Data for the Classification of Urban Areas: A Case Study", International Journal of Image and Data Fusion, accepted.

  24. P. Ghamisi, B. Hofle, and X. X. Zhu, "Hyperspectral and LiDAR Data Fusion Using Extinction Profies and Deep Convolutional Neural Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 6, pp. 3011-3024, 2017.

  25. P. Ghamisi and B. Hofle, "LiDAR Data Classification Using Extinction Profies and a Composite Kernel Support Vector Machine," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 5, pp. 659-663, 2017.

  26. L. Mou, P. Ghamisi, and X. X. Zhu, "Deep Recurrent Neural Networks for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3639-3655, 2017 [The most popular paper published by IEEE TGRS since July 2017 till now].

  27. B. Rasti, P. Ghamisi, and R. Gloaguan, "Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3997-4007, 2017 [code].

  28. R. pullanagari, G. Kereszturi, I. Yule, and P. Ghamisi, "Assessing the performance of multiple spectral-spatial features of a hyperspectral image for classification of urban land cover classes using support vector machines and artificial neural network," Journal of Applied Remote Sensing, vol. 11, no. 2, pp. 026009, 2017.

  29. Y. Chen, C. Li, P. Ghamisi, X. Jia, and Y. Gu, "Deep Fusion of Remote Sensing Data for Accurate Classification," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 8, pp. 1253-1257, 2017.

  30. M. Zhang, P. Ghamisi, and W. Li, "Classification of hyperspectral and LiDAR data using extinction profiles with feature fusion," Remote Sensing Letters, vol. 8, no. 10, pp. 957-966, 2017.

  31. B. Rasti, P. Ghamisi, J. Plaza, and A. Plaza, "Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6354-6365, Nov. 2017.

  32. Y. Chen, L. Zhu, P. Ghamisi, X. Jia, and L. Tang, "Hyperspectral Images Classification with Gabor Filtering and Convolutional Neural Network," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 12, pp. 2355-2359, Dec. 2017 [code].

  33. P. Ghamisi, N. Yokoya, J. Li, W. Liao, S. Liu, J. Plaza, B. Rasti and A. Plaza, "Advances in Hyperspectral Image and Signal Processing," IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 37-78, Dec. 2017.

  34. B. Rasti, M. O. Ulfarsson, and P. Ghamisi, "Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling," IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 12, pp. 2335-2339, Dec. 2017 [code].

  35. J. Xia, P. Ghamisi, N. Yokoya, and A. Iwasaki, "Random Forest Ensembles and Extended Multi-Extinction Profiles for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 202-216, Jan. 2018.

  36. L. Mou, P. Ghamisi, and X. X. Zhu, "Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 391-406, Jan. 2018.

  37. L. Fang, N. He S. Li, P. Ghamisi, and J. A. Benediktsson "Extinction Profiles Fusion for Hyperspectral Images Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1803-1815, March 2018.

  38. N. Yokoya, P. Ghamisi, J. Xia, S. Sukhanov, R. Heremans, I. Tankoyeu, B. Bechtel, B. Le Saux, G. Moser, and D. Tuia, "Open data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 5, pp. 1363-1377, May 2018.

  39. L. Zhu,Y. Chen, P. Ghamisi, and J. A. Benediktsson, "Generative Adversarial Networks for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 9, pp. 5046-5063, Sept. 2018 [code].

  40. P. Ghamisi and N. Yokoya, "IMG2DSM: Height Simulation from Single Imagery Using Conditional Generative Adversarial Nets," IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 794-798, May 2018.

  41. A. Wang, X. He, P. Ghamisi, and Y. Chen, "LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks," IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 774-778, May 2018.

  42. B. Rasti, P. Scheunders, P. Ghamisi, G. Licciardi, and J. Chanussot, "Noise Reduction in Hyperspectral Imagery: Overview and Application," Remote Sensing, vol. 10, no. 3, 2018 [code].

  43. J. Zhu, L. Fang, and P. Ghamisi, "Deformable Convolutional Neural Networks for Hyperspectral Images Classification," IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 8, pp. 1254-1258, Aug. 2018 [code].

  44. P. Ghamisi, E. Maggiori, S. Li, R. Souza, Y. Tarabalka, G. Moser, A. D. Giorgi, L. Fang, Y. Chen, M. Chi, S. B. Serpico, and J. A. Benediktsson, "New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning," IEEE Geoscience and Remote Sensing Magazine, vol. 6, no. 3, pp. 10-43, Sep. 2018.  [pdf]

  45. H. Ghanbari, S. Homayouni, A. Safari, and P. Ghamisi, "Gaussian Mixture Model and Markov Random Fields for Hyperspectral Image Classification," European Journal of Remote Sensing, vol. 51, no. 1, pp. 889-900, Sep. 2018.

  46. L. Fang, G. Liu, S. Li, P. Ghamisi, and J. A. Benediktsson, "Hyperspectral Image Classification with Squeeze Multi-Bias Network," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1291-1301, 2018.

  47. X. He, A. Wang, P. Ghamisi, and Y. Chen, "LiDAR Data Classification Using Spatial Transformation and Convolutional Neural Networks," IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 774-778, May 2018.

  48. J. Hu, P. Ghamisi, and X. X. Zhu, "Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification," ISPRS International Journal of Geo-Information, vol. 7, no. 9, 2018. 

  49. H. Ghanbari, S. Homayouni, P. Ghamisi, and A. Safari, "Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images based on a Gaussian Mixture Model and Error Ellipse," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 11, pp. 4526-4533, Nov. 2018.

  50. C. Qiu, M. Schmitt, L. Mou, P. Ghamisi, and X. X. Zhu, "Feature importance analysis for Local Climate Zone classification using a residual convolutional neural network with multi-source datasets," Remote Sensing, vol. 10, no. 10, p. 1572, 2018.

  51. H. Li, P. Ghamisi, U. Soergel, and X. X. Zhu, "Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks," Remote Sensing, vol. 10, no. 10, p. 1649, 2018.

  52. X. Wu, D. Hong, P. Ghamisi, W. Li, and Ran Tao, "MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection," Remote Sens. vol. 10, no. 12, 2018.

  53. P. Ghamisi, B. Rasti, N. Yokoya, Q. Wang, B. Hofle, L. Bruzzone, F. Bovolo, M. Chi, K. Anders, R. Gloaguen, P. M. Atkinson, and J. A. Benediktsson, "Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art," IEEE Geoscience and Remote Sensing Magazine, vol. 7, no. 1, pp. 6-39, March 2019 [pdf].

  54. P. Ghamisi, B. Rasti, and J. A. Benediktsson, "Multisensor Composite Kernels Based on Extreme Learning Machines," IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 2, pp. 196-200, Feb. 2019. 

  55. B. Rasti, P. Ghamisi, and M. O. Ulfarsson, "Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis," Remote Sensing, vol. 11, no. 2, 2019 [code].

  56. K. Zhu, Y. Chen, P. Ghamisi, X. Jia, and J. A. Benediktsson, "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification," Remote Sensing, vol. 11, no. 3, 2019 [code].

  57. X. He, A. Wang, P. Ghamisi, G. Li and Y. Chen, "LiDAR Data Classification Using Spatial Transformation and CNN," IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 1, pp. 125-129, Jan. 2019.

  58. R. Hang, Q. Liu, D. Hong, and P. Ghamisi, "Cascaded Recurrent Neural Networks for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5384-5394, Aug. 2019 [code].

  59. G. Zhao, G. Liu, L. Fang, B. Tu, and P. Ghamisi, "Multiple convolutional layers fusion framework for hyperspectral image classification," Neurocomputing, vol. 339, pp. 149-160, Apr. 2019.

  60. Y. Chen, K. Zhu, L. Zhu, X. He, P. Ghamisi, and J. A. Benediktsson, "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 7048-7066, Sept. 2019. 

  61. S. Li, W. Song, L. Fang, Y. Chen, P. Ghamisi, and J. A. Benediktsson, "Deep Learning for Hyperspectral Image Classification: An Overview," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 6690-6709, Sept. 2019.

  62. G. Zhang, P. Ghamisi, and X. X. Zhu, "Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 7623-7642, Oct. 2019.

  63. Y. Chen, Y. Wang, Y. Gu, X. He, P. Ghamisi, and X. Jia, "Deep Learning Ensemble for Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 6, pp. 1882-1897, June 2019.

  64. P. Duan, X. Kang, S. Li, and P. Ghamisi, "Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 6, pp. 1948-1962, June 2019.

  65. S. Lorenz, P. Seidel, P. Ghamisi, R. Zimmermann, L. Tusa, M. Khodadadzadeh, I. Cecilia Contreras, and R. Gloaguen, "Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction," Sensors, vol. 19, no. 12, 2019.

  66. B. Rasti, P. Ghamisi, and J. A. Benediktsson, "Hyperspectral Mixed Gaussian and Sparse Noise Reduction," IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 3, pp. 474-478, March 2020.

  67. I. Cecilia Contreras Acosta, M. Khodadadzadeh, L. Tusa, P. Ghamisi, and R. Gloaguen, "A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 12, no. 12, pp. 4829-4842, Dec. 2019.

  68. P. Duan, X. Kang, S. Li, P. Ghamisi, and J. A. Benediktsson, "Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 10336-10349, Dec. 2019. 

  69. X. He, Y. Chen, and P. Ghamisi, "Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network," IEEE Transactions on Geoscience and Remote Sensing. vol. 58, no. 5, pp. 3246-3263, May 2020.

  70. Y. Lin, S. Li, L. Fang, and P. Ghamisi, "Multispectral Change Detection With Bilinear Convolutional Neural Networks," IEEE Geoscience and Remote Sensing Letters.doi: 10.1109/LGRS.2019.2953754.

  71. M. Kirsch, S. Lorenz, R. Zimmermann, L. Andreani, L. Tusa, S. Pospiech, R. Jackisch, M. Khodadadzadeh, P. Ghamisi, G. Unger, P. Hödl, R. Gloaguen, M. Middleton, R. Sutinen, A. Ojala, J. Mattila, N. Nordbäck, J. Palmu, M. Tiljander, and T. Ruskeeniemi, "Hyperspectral outcrop models for palaeoseismic studies," The Photogrammetric Record, vol. 34, no. 168, pp. 385-407, Dec. 2019.

  72. B. Choubin, A. Mosavi, E. H. Alamdarloo, F. S. Hosseini, S. Shamshirband, K. Dashtekian, and P. Ghamisi, "Earth fissure hazard prediction using machine learning models," Environmental Research, vol. 179, Part A, 2019.

  73. B. Choubin, M. Abdolshahnejad, E. Moradi, X. Querol, A. Mosavi, S. Shamshirband, and P. Ghamisi, "Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain," Science of The Total Environment, vol. 701, 2020.

  74. B. Rasti, D. Hong, R. Hang, P. Ghamisi, X. Kang, J. Chanussot, and J. A. Benediktsson, "Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)," IEEE Geoscience and Remote Sensing Magazine, vol. 8, no. 4, pp. 60-88, Dec. 2020 [code].

  75. J. Xie, N. He, L. Fang, and P. Ghamisi, "Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification," IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2020.2975566.

  76. R. Huang, Y. Xu, D. Hong, W. Yao, P. Ghamisi, and U. Stilla, "Deep Point Embedding for Urban Classification Using ALS Point Cloud: A New Perspective from Local to Global," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 163, pp. 62-81, May 2020.

  77. D. Hong, X. Wu, P. Ghamisi, J. Chanussot, N. Yokoya and X. X. Zhu, "Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 6, pp. 3791-3808, June 2020.

  78. M. Dehghani, S. Salehi, A. Mosavi, N. Nabipour, S. Shamshirband, P. Ghamisi, "Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices," ISPRS Int. J. Geo-Inf., vol. 9, no. 73, 2020.

  79. R. Hang, Z. Li, P. Ghamisi, D. Hong, G. Xia, and Q. Liu, "Classification of Hyperspectral and LiDAR Data Using Coupled CNNs," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 7, pp. 4939-4950, 2020 [code].

  80. N. Yokoya, P. Ghamisi, R. Haensch, and M. Schmitt, "2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping with Weak Supervision [Technical Committees]," IEEE Geoscience and Remote Sensing Magazine, vol. 8, no. 1, pp. 154-157, March 2020.

  81. A. Mosavi, P. Ghamisi, Y. Faghan, and P. Duan, "Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics," Mathematics, vol. 8, no. 10, 2020.

  82. S. Nosratabadi, A. Mosavi, P. Duan, and P. Ghamisi, "Data Science in Economics," arXiv, 2020.

  83. S. F. Ardabili, A. Mosavi, P. Ghamisi, F. Ferdinand, A. R. Varkonyi-Koczy, U. Reuter, T. Rabczuk, and P. M. Atkinson, "COVID-19 Outbreak Prediction with Machine Learning," Algorithms, vol. 13, no. 10, 2020.

  84. M. M. Sheikholeslami, S. Nadi, A. A. Naeini, and P. Ghamisi, "An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.13, pp. 1937-1945, 2020.

  85. V. Sudharshan, P. Seidel, P. Ghamisi, S. Lorenz, M. Fuchs, J. S. Fareedh, P. Neubert, S. Schubert, and R. Gloaguen, "Object detection routine for material streams combining RGB and hyperspectral reflectance data based on Guided Object Localization," IEEE Sensors Journal, vol. 20, no. 19, pp. 11490-11498, 2020.

  86. P. Duan, X. Kang, S. Li, and P. Ghamisi, "Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2444-2456, April 2020.

  87. M. E. Paoletti, J. M. Haut, P. Ghamisi, N. Yokoya, J. Plaza, and A. Plaza, "U-IMG2DSM: Unpaired Simulation of Digital Surface Models With Generative Adversarial Networks," IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 7, pp. 1288-1292, July 2021, doi: 10.1109/LGRS.2020.2997295 [code].

  88. J. Kang, R. Fernandez-Beltran, Z. Ye, X. Tong, P. Ghamisi, and A. Plaza, "Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 12, pp. 8905-8918, Dec. 2020 [code].

  89. H. Li, P. Ghamisi, B. Rasti, Z. Wu, A. Shapiro, M. Schultz, and A. Zipf, "A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks," Remote Sensing, vol. 12, no. 12, p. 2067, Jun. 2020, doi: 10.3390/rs12122067.

  90. B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi, "How Hyperspectral Image Unmixing and Denoising Can Boost Each Other," Remote Sensing, vol. 12, no. 11, p. 1728, May 2020, doi: 10.3390/rs12111728.

  91. R Hang, Z Li, Q Liu, P. Ghamisi, and S. S. Bhattacharyya, "Hyperspectral Image Classification with Attention Aided CNNs," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2281-2293, March 2021, doi: 10.1109/TGRS.2020.3007921.

  92. R. Hang, F. Zhou, Q. Liu, and P. Ghamisi, "Classification of Hyperspectral Images via Multitask Generative Adversarial Networks,” IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3003341.

  93. B. Rasti and P. Ghamisi, Remote Sensing Image Classification Using Subspace Sensor Fusion, Information Fusion, vol. 64, pp. 121-130, 2020 [code].

  94. S. Salcedo-Sanz, P. Ghamisi, M. Piles, M. Werner, L. Cuadra, A. Moreno-Martnez, E. Izquierdo-Verdiguier, J. Munoz-Mar, A. Mosavi, and G. Camps-Valls, "Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources," Information Fusion, vol. 63, pp 256-272, 2020.

  95. P. Duan, J. Lai, J. Kang, X. Kang, P. Ghamisi, and S. Li, "Texture-aware total variation-based removal of sun glint in hyperspectral images," ISPRS Journal of Photogrammetry and Remote Sensing, volume 166, 2020.

  96. J. Kang, R. Fernández-Beltrán, Z. Ye, X. Tong, P. Ghamisi, and A. Plaza, "High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery," Remote Sensing, vol. 12, no. 16, p. 2603, Aug. 2020, doi: 10.3390/rs12162603 [code].

  97. B. Rasti, P. Ghamisi, P. Seidel, S. Lorenz, and R. Gloaguen, "Multiple OpticalSensor Fusion for Mineral Mapping of Core Samples," Sensors, vol. 20, no. 13, p.3766, Jul. 2020.

  98. K. Rafiezadeh Shahi, M. Khodadadzadeh, L. Tusa, P. Ghamisi, R. Tolosana-Delgado, and R. Gloaguen, "Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis," Remote Sensing, vol. 12, no. 15, p. 2421, Jul. 2020 [code].

  99. M. Sheykhmousa, M. Mahdianpari, H. Ghanbari, F. Mohammadimanesh, P. Ghamisi, and S. Homayouni, "Support Vector Machine vs. Random Forest for Remote Sensing Image Classification: A Meta-analysis and systematic review," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6308-6325, 2020.

  100. P. Duan, P. Ghamisi, X. Kang, B. Rasti, S. Li, and R. Gloaguen, "Fusion of Dual Spatial Information for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7726-7738, Sept. 2021, doi: 10.1109/TGRS.2020.3031928 [code].

  101. P. Duan, J. Lai, P. Ghamisi, X. Kang, R. Jackisch, J. Kang, and R. Gloaguen, "Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping," Remote Sensing, vol. 12, no. 18, p. 2903, Sep. 2020, doi: 10.3390/rs12182903 [code].

  102. K. Rafiezadeh Shahi, P. Ghamisi, B. Rasti, R. Jackisch, P. Scheunders, and R. Gloaguen, "Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm," Remote Sensing, vol. 12, no. 23, p. 4007, Dec. 2020, doi: 10.3390/rs12234007.

  103. P. Duan, X. Kang, P. Ghamisi, and Y. Liu, "Multilevel Structure Extraction-Based Multi-Sensor Data Fusion," Remote Sensing, vol. 12, no. 24, p. 4034, Dec. 2020, doi: 10.3390/rs12244034.

  104. S. Lorenz, P. Ghamisi, M. Kirsch, R. Jackisch, B. Rasti, and R. Gloaguen, "Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods," Remote Sensing of Environment, vol. 252, 2021.

  105. N. Yokoya, P. Ghamisi, R. Hansch, and M. Schmitt, "Report on the 2020 IEEE GRSS Data Fusion Contest-Global Land Cover Mapping With Weak Supervision [Technical Committees]," IEEE Geoscience and Remote Sensing Magazine, vol. 8, no. 4, pp. 134-137, Dec. 2020.

  106. J. Yue, L. Fang, H. Rahmani and P. Ghamisi, "Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2021, doi: 10.1109/TGRS.2021.3057768 [code].

  107. C. Robinson, K. Malkin, N. Jojic, H. Chen, R. Qin, C. Xiao, M. Schmitt, P. Ghamisi, R. Hnsch, and N. Yokoya, "Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 3185-3199, 2021, doi: 10.1109/JSTARS.2021.3063849.

  108. N. Yokoya, P. Ghamisi, R. Hansch, C. Prieur, H. Malha, J. Chanussot, C. Robinson, K. Malkin, and N. Jojic, "2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees]," IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 1, pp. 287-C3, March 2021.

  109. X. He, Y. Chen, and P. Ghamisi, "Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, 2022, Art no. 5502418, doi: 10.1109/TGRS.2021.3061088.

  110. B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi, "UnDIP: Hyperspectral Unmixing Using Deep Image Prior," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5504615, doi: 10.1109/TGRS.2021.3067802 [code].

  111. X. Liu, D. Hong, J. Chanussot, B. Zhao, and P. Ghamisi, "Modality Translation in Remote Sensing Time Series," IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3079294 [data].
  112. S. Mohammed, K. Tai-hoon, P. Ghamisi, and R. -S. Chang, "A Special Issue on Recent Progress in Developing Artificial Intelligence and Machine Learning Methodologies [From the Guest Editors]," IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 2, pp. 7-128, June 2021, doi: 10.1109/MGRS.2021.3078373.
  113. O. Ghorbanzadeh, A. Crivellari, P. Ghamisi, et al., "A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2data (case study areas from Taiwan, China, and Japan)," Scientific Report, 11, 14629, 2021.
  114. B. Rasti, Y. Chang, E. Dalsasso, L. Denis, and P. Ghamisi, "Image Restoration for Remote Sensing: Overview and Toolbox," IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 201-230, June 2022, doi: 10.1109/MGRS.2021.3121761 [code].
  115. J. Yue, D. Zhu, L. Fang, P. Ghamisi, and Y. Wang, "Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5512914, doi: 10.1109/TGRS.2021.3095056.
  116. Y. Han, M. Yin, P. Duan, and P. Ghamisi, "Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 8019105, doi: 10.1109/LGRS.2021.3103381.
  117. P. Ghamisi et al., "The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 8971-8988, 2021, doi: 10.1109/JSTARS.2021.3108049.
  118. M. Schmitt, C. Persello, G. Vivone, D. Lunga, W. Liao, N. Yokoya, P. Ghamisi, and R. Hnsch, "The New Working Groups of the GRSS Technical Committee on Image Analysis and Data Fusion [Technical Committees]," IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 3, pp. 165-166, Sept. 2021.

  119. Q. Li, Y. Chen, and P. Ghamisi, "Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 8021105, doi: 10.1109/LGRS.2021.3112960.
  120. H. Xie, Y. Chen, and P. Ghamisi, "Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint," Remote Sensing, vol. 13, no. 13, p. 2566, Jun. 2021.
  121. Y. Cai, Z. Zhang, Z. Cai, X. Liu, Y. Ding, and P. Ghamisi, "Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering," ArXiv, abs/2111.07942, 2021.
  122. Y. Cai, Z. Zhang, Y. Liu, P. Ghamisi, K. Li, X. Liu, and Z. Cai, "LargeScale Hyperspectral Image Clustering Using Contrastive Learning," 2021, ArXiv, abs/2111.07945.
  123. H. Shahabi, M. Rahimzad, S. Tavakkoli Piralilou, O. Ghorbanzadeh, S. Homayouni, T. Blaschke, S. Lim, and P. Ghamisi, "Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery," Remote Sensing, vol. 13, no. 22, p. 4698, Nov. 2021.
  124. Y. Ma et al., "The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 12375-12385, 2021.
  125. N. Yokoya et al., "Report on the 2021 IEEE GRSS Data Fusion Contest—Geospatial Artificial Intelligence for Social Good [Technical Committees]," IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 4, pp. 274-277, Dec. 2021.
  126. B. Rasti, P. Ghamisi, and R. Gloaguen, "OptFus: Optical Sensor Fusion for the Classification of Multisource Data: Application to Mineralogical Mapping," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022 [code].
  127. Z. Zhang, Y. Cai, W. Gong, P. Ghamisi, X. Liu, and R. Gloaguen, "Hypergraph Convolutional Subspace Clustering with Multi-hop Aggregation for Hyperspectral Image," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 676-686, 2022 [code].
  128. C. Persello, J. D. Wegner, R. Hansch, D. Tuia, P. Ghamisi, M. Koeva, and G. CampsValls, "Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities," IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 172-200, June 2022, doi: 10.1109/MGRS.2021.3136100.
  129. K. R. Shahi, P. Ghamisi, B. Rasti, P. Scheunders and R. Gloaguen, "Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 284-296, 2022 [code].
  130. S. Tavakkoli Piralilou et al., "A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions," Remote Sensing, vol. 14, no. 3, p. 672, Jan. 2022.
  131. M. Lu, L. Fang, M. Li, B. Zhang, Y. Zhang, and P. Ghamisi, "NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3140323 [code].
  132. W. Song, Z. Gao, R. Dian, P. Ghamisi, Y. Zhang, and J. A. Benediktsson, "Asymmetric Hash Code Learning for Remote Sensing Image Retrieval," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5617514, doi: 10.1109/TGRS.2022.3143571 [code].
  133. O. Ghorbanzadeh, H. Shahabi, A. Crivellari, et al., "Landslide detection using deep learning and object-based image analysis," Landslides, vol 19, pp. 929–939, 2022, https://doi.org/10.1007/s10346-021-01843-x.
  134. Z. Li et al., "The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 1643-1655, 2022.
  135. O. Ghorbanzadeh, K. Gholamnia, and P. Ghamisi, "The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images," Big Earth Data, 2022, DOI: 10.1080/20964471.2022.2031544.
  136. Y. Xu and P. Ghamisi, "Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5619815, doi: 10.1109/TGRS.2022.3156392 [code].
  137. Y. Xu and P. Ghamisi, "Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations," IEEE Transactions on Image Processing, vol. 31, pp. 5038-5051, 2022, doi: 10.1109/TIP.2022.3189825 [code].
  138. S. Chang and P. Ghamisi, "Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5534913, doi: 10.1109/TGRS.2022.3195339 [code]. 
  139. Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, and Antonio J Plaza, "Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives," IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 250-269, June 2022, doi: 10.1109/MGRS.2022.3161377.
  140. B. Aslam et al., "Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan," Sensors, vol. 22, no. 9, p. 3107, Apr. 2022, doi: 10.3390/s22093107.
  141. S. Das, S. Pratiher, C. Kyal, and P. Ghamisi, "Sparsity Regularized Deep Subspace Clustering for Multi-criterion-based Hyperspectral Band Selection," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4264-4278, 2022, doi: 10.1109/JSTARS.2022.3172112.
  142. H. Li, J. Zech, D. Hong, P. Ghamisi, M. Schultz, A. Zipf, "Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection," International Journal of Applied Earth Observation and Geoinformation, vol. 110, 2022.
  143. Y. Cai et al., "Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5530113, doi: 10.1109/TGRS.2022.3179637.
  144. O. Ghorbanzadeh, Y. Xu, P. Ghamisi, M. Kopp, and D. Kreil, "Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5633017, doi: 10.1109/TGRS.2022.3215209 [dataset].
  145. L. Zhang, Y. Qian, J. Han, P. Duan, and P. Ghamisi, "Mixed Noise Removal for Hyperspectral Image With l0-l1−2SSTV Regularization," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5371-5387, 2022, doi: 10.1109/JSTARS.2022.3185657.
  146. S. Namdari, A. I. Zghair Alnasrawi, O. Ghorbanzadeh, A. Sorooshian, K. V. Kamran, and P. Ghamisi, "Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East," Remote Sensing, vol. 14, no. 13, p. 2963, Jun. 2022.
  147. W. Wang, Y. Chen, and P. Ghamisi, "Transferring CNN With Adaptive Learning for Remote Sensing Scene Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, 2022, Art no. 5533918, doi: 10.1109/TGRS.2022.3190934.
  148. Z. He, K. Xia, P. Ghamisi, Y. Hu, S. Fan, and B. Zu, "HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6053-6068, 2022, doi: 10.1109/JSTARS.2022.3192127.
  149. W. Tong, X. Guan, J. Kang, P. Sun, R. Law, P. Ghamisi, E. Wu, "Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo," IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3193421.
  150. M. Seydgar, S. Rahnamayan, P. Ghamisi, and A. Bidgoli, "Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-18, 2022, Art no. 5535218, doi: 10.1109/TGRS.2022.3195924 [code].
  151. Y. Xu, W. Yu, P. Ghamisi, M. Kopp, and S. Hochreiter, "Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks," ArXiv, abs/2208.04441, 2022 [code].
  152. K. R. Shahi, P. Ghamisi, B. Rasti, R. Gloaguen, and P. Scheunders, "MS2A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6518-6530, 2022, doi: 10.1109/JSTARS.2022.3198137 [code].
  153. L. Fang, P. Zhou, X. Liu, P. Ghamisi and S. Chen, "Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images," IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2022.3201820.
  154. La Rosa LE, Oliveira DA, Ghamisi P. Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery. arXiv preprint arXiv:2208.11607. 2022 Aug 24.
  155. I. Ulku, E. Akagündüz and P. Ghamisi, "Deep Semantic Segmentation of Trees Using Multispectral Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7589-7604, 2022, doi: 10.1109/JSTARS.2022.3203145.
  156. O. Ghorbanzadeh et al., "The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 9927-9942, 2022, doi: 10.1109/JSTARS.2022.3220845 [dataset].
  157. P. Duan, X. Kang, and P. Ghamisi"Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector," arXiv preprint arXiv:2209.14971, 2022 [dataset].
  158. S. Chang, M. Kopp and P. Ghamisi, "Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022, Art no. 5543412, doi: 10.1109/TGRS.2022.3220814 [code].
  159. L. Huang, Y. Chen, X. He, and P. Ghamisi, "Supervised Contrastive Learning-Based Classification for Hyperspectral Image," Remote Sensing, vol. 14, no. 21, p. 5530, Nov. 2022, doi: 10.3390/rs14215530.
  160. L. Wu, L. Fang, J. Yue, B. Zhang, P. Ghamisi and M. He, "Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images," IEEE Transactions on Image Processing, vol. 31, pp. 7419-7434, 2022, doi: 10.1109/TIP.2022.3222904.
  161. N. Dräger, Y. Xu, and P. Ghamisi, "Backdoor Attacks for Remote Sensing Data with Wavelet Transform," arXiv preprint arXiv:2211.08044, 2022 [code].
  162. J. Wu, Ru. Cong, L. Fang, C. Guo, B. Zhang, and P. Ghamisi, "Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network," Science China Information Sciences, vol. 66, no. 1, pp. 1-2, 2023.
  163. A. Jamali, S. K. Roy, A. Bhattacharya and P. Ghamisi, "Local Window Attention Transformer for Polarimetric SAR Image Classification," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 4004205, doi: 10.1109/LGRS.2023.3239263.
  164. Y. Cai, Z. Zhang, P. Ghamisi, Z. Cai, X. Liu, and Y. Ding,  "Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification" ACM Trans. Intell. Syst. Technol. 14, 3, Article 40, June 2023, https://doi.org/10.1145/3579828.
  165. S. Paul, L. E. Cue la Rosa, P. Ghamisi, and R. Gloaguen, "Unsupervised annual change detection from optical-SAR fused satellite image time-series using 3D-CAE", International Journal of Remote Sensing, 44:5, 1628-1642, 2023, DOI: 10.1080/01431161.2023.2187724.
  166. S. Chang and P. Ghamisi, “Changes to Captions: An Attentive Network for Remote Sensing Change Captioning.” ArXiv abs/2304.01091 (2023).
  167. S. Chang, M. Kopp, and P. Ghamisi, “Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks.” ArXiv abs/2304.01101 (2023).
  168. S. T. Seydi, M. Hasanlou, J. Chanussot, and P. Ghamisi, "BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 4232-4247, 2023, doi: 10.1109/JSTARS.2023.3267847.
  169. P. Duan, X. Kang, P. Ghamisi and S. Li, "Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5509711, doi: 10.1109/TGRS.2023.3268944.
  170. R. Jena et al., “Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula,” Remote Sensing, vol. 15, no. 9, p. 2248, Apr. 2023, doi: 10.3390/rs15092248.
  171. A. J. Afifi, S. T. Thiele, S. Lorenz, P. Ghamisi, R. Tolosana-Delgado, M. Kirsch, R. Gloaguen, and M. Heizmann. “Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.” ArXiv abs/2305.09928 (2023).
  172. A. Jamali, S. K. Roy, J. Li, P. Ghamisi, "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping", International Journal of Applied Earth Observation and Geoinformation, vol. 120, 2023.
  173. A. Jamali, S. Kumar Roy, P. Ghamisi, WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping, International Journal of Applied Earth Observation and Geoinformation, vol. 120, 2023.
  174. R. Jena, A. Shanableh, R. Al-Ruzouq, B. Pradhan, M. Barakat, A. Gibril, M. A. Khalil, O. Ghorbanzadeh, P. Ghamisi, "Earthquake spatial probability and hazard estimation using various explainable AI (XAI) models at the Arabian peninsula", Remote Sensing Applications: Society and Environment, vol. 31, 2023.
  175. Y. Xu, T. Bai, W. Yu, S. Chang, P. M. Atkinson, and P. Ghamisi, "AI Security for Geoscience and Remote Sensing: Challenges and future trends," in IEEE Geoscience and Remote Sensing Magazine, vol. 11, no. 2, pp. 60-85, June 2023, doi: 10.1109/MGRS.2023.3272825.
  176. A. Jamali, S. K. Roy, J. Li, and P. Ghamisi. “Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction.” ArXiv abs/2306.04947 (2023).
  177. N. Dräger, Y. Xu and P. Ghamisi, "Backdoor Attacks for Remote Sensing Data With Wavelet Transform," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 5613715, doi: 10.1109/TGRS.2023.3289307.
  178. L. Ouyang, G. Guo, L. Fang, P. Ghamisi and J. Yue, "PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023, Art no. 5613911, doi: 10.1109/TGRS.2023.3290091.
  179. Jena, R., Shanableh, A., Al-Ruzouq, R., Pradhan, B., Gibril, M.B.A., Ghorbanzadeh, O., Atzberger, C., Khalil, M.A., Mittal, H. and Ghamisi, P., 2023. An integration of deep learning and transfer learning for earthquake-risk assessment in the Eurasian region. Remote Sensing, 15(15), p.3759.
  180. Yu, W., Xu, Y. and Ghamisi, P., 2023. Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. arXiv preprint arXiv:2307.16865 [code​​].
  181. Jena, R., Shanableh, A., Al-Ruzouq, R., Pradhan, B., Gibril, M.B.A., Khalil, M.A., Ghorbanzadeh, O. and Ghamisi, P., 2023. Earthquake spatial probability and hazard estimation using various explainable AI (XAI) models at the Arabian Peninsula. Remote Sensing Applications: Society and Environment, 31, p.101004.
  182. Ghorbanzadeh, O., Gholamnia, K. and Ghamisi, P., 2023. The application of ResU-net and OBIA for landslide detection from multi-temporal sentinel-2 images. Big Earth Data, 7(4), pp.961-985.
  183. La Rosa, L.E.C., Oliveira, D.A.B. and Ghamisi, P., 2023. Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery. IEEE Transactions on Geoscience and Remote Sensing.
  184. Xu, Y., Yu, W., Ghamisi, P., Kopp, M. and Hochreiter, S., 2023. Txt2Img-MHN: Remote sensing image generation from text using modern Hopfield networks. IEEE Transactions on Image Processing [code​​].
  185. Wang, Y. and Ghamisi, P., 2023. RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering. arXiv preprint arXiv:2310.13120 [code​].
  186. Cai, Y., Zhang, Z., Ghamisi, P., Rasti, B., Liu, X. and Cai, Z., 2023. Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Information Sciences, 649, p.119655.
  187. Chang, S. and Ghamisi, P., 2023. Changes to captions: An attentive network for remote sensing change captioning. IEEE Transactions on Image Processing [code​].
  188. Afifi, A.J., Thiele, S.T., Rizaldy, A., Lorenz, S., Ghamisi, P., Tolosana-Delgado, R., Kirsch, M., Gloaguen, R. and Heizmann, M., 2023. Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Transactions on Geoscience and Remote Sensing  [dataset].
  189. Seydi, S.T., Hasanlou, M., Chanussot, J. and Ghamisi, P., 2023. Leveraging involution and convolution in an explainable building damage detection framework. European Journal of Remote Sensing, 56(1), p.2252166.
  190. He, Z., Zhu, Q., Xia, K., Ghamisi, P. and Zu, B., 2024. Semi-supervised hierarchical Transformer for hyperspectral Image classification. International Journal of Remote Sensing, 45(1), pp.21-50.
  191. Arbash, E., Fuchs, M., Rasti, B., Lorenz, S., Ghamisi, P. and Gloaguen, R., 2024. PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. arXiv preprint arXiv:2401.06528 [code​].
  192. Jamali, A., Roy, S.K., Li, J. and Ghamisi, P., 2024. Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. IEEE Geoscience and Remote Sensing Letters [code​].
  193. Jamali, A., Roy, S.K., Hong, D., Atkinson, P.M. and Ghamisi, P., 2024. Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping. IEEE Geoscience and Remote Sensing Letters [code​].
  194. Rajabi, R., Zehtabian, A., Singh, K.D., Tabatabaeenejad, A., Ghamisi, P. and Homayouni, S., 2024. Hyperspectral imaging in environmental monitoring and analysis. Frontiers in Environmental Science.
  195. Jamali, A., Roy, S.K., Hong, D., Atkinson, P.M. and Ghamisi, P., 2024. Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters [code​].
  196. Jamali, A., Roy, S.K., Beni, L.H., Pradhan, B., Li, J. and Ghamisi, P., 2024. Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. International Journal of Applied Earth Observation and Geoinformation, 127, p.103662 [code​].
  197. Yang, Z., Yue, J., Ghamisi, P., Zhang, S., Ma, J. and Fang, L., 2024. Open Set Recognition in Real World. International Journal of Computer Vision, pp.1-24.
  198. Roy, S.K., Sukul, A., Jamali, A., Haut, J.M. and Ghamisi, P., 2024. Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing.
  199. Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X. and Plaza, A., 2024. SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  200. Liu, Y., Yue, J., Xia, S., Ghamisi, P., Xie, W. and Fang, L., 2024. Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. arXiv preprint arXiv:2404.08926.
  201. Yu, W., Zhang, X., Das, S., Zhu, X.X. and Ghamisi, P., 2024. MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. arXiv preprint arXiv:2404.12081.
  202. Xu, Y., Ghamisi, P. and Avrithis, Y., 2024. Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data. arXiv preprint arXiv:2405.06502.
  203. P. Ghamisi, W. Yu, A. Marinoni, C. M. Gevaert, C. Persello, S. Selvakumaran, M. Girotto, B. P. Horton, P. Rufin, P. Hostert, F. Pacifici, and P. M. Atkinson, “Responsible ai for earth observation,” 2024.
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