AI4RS: Artificial Intelligence for Remote Sensing
Humboldt University of Berlin - Summer 2023
Instructor: Pedram Ghamisi
Co-lecturers: Yonghao Xu, Omid Ghorbanzadeh, Shizhen Chang
This course focuses on a recent trend in Artificial Intelligence for Remote Sensing and covers or touches topics such as image classification, object detection, semantic segmentation, change detection, and security for remote sensing in possible areas from local to global-scales.
In a mixture of theoretical and hands-on sessions, students will be able to gain a deeper understanding of Machine Learning and Deep Learning and their background as well as apply new concepts and approaches to a variety of practical applications of remote sensing image processing such as data fusion, land-cover, and land-use mapping, urban dynamics monitoring, natural hazard assessment, and vehicle\aircraft detection, using RGB, multispectral, and hyperspectral data.
machine\deep learning foundations for remote sensing
remote sensing image classification
remote sensing image object detection
remote sensing image semantic segmentation
remote sensing image change detection
remote sensing image anomaly detection
natural hazard monitoring
artificial intelligence security for remote sensing
Lectures will take 13 weeks for the whole duration of the semester.
Hands-on sessions will be organized along the course.
Final Project will be updated regarding the official plan of the course.