Abstract: 

With the advancement of Synthetic Aperture Radar (SAR) technology and its integration with artificial intelligence, the intelligent interpretation of SAR images has become a crucial area of research in modern Earth observation. Leveraging SAR’s unique advantages—such as all-weather, all-day imaging—and enhanced by recent developments in AI-based processing, this field is rapidly gaining momentum. At the same time, SAR-optical fusion processing, which combines the structural advantages of SAR imagery with the rich textural information of optical data, is emerging as a powerful strategy to overcome the limitations of single-modality interpretation. This Session, Intelligent Interpretation of SAR Images, welcomes contributions from researchers focused on SAR imagery interpretation and SAR-optical fusion processing, aiming to highlight current trends, technical challenges, and innovative solutions. We seek to compile state-of-the-art research that demonstrates how SAR-based intelligent systems and multimodal approaches are shaping the future of remote sensing applications.

Session Chairs: 

Prof. Hao Shi （Beijing Institute of Technology）

Prof. Jiaqiu Ai （Hefei University of Technology）

Prof. Fei Ma (Beijing University of Chemical Technology)