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.