A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...

Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

The amount of aerial and satellite imagery captured worldwide continues to grow. Yet, efficiently identifying and labeling features in these images—like roofs, cars, or trees—remain challenging. To ...

Chinese spacecraft image Maxar remote sensing and U.S. early warning satellites Chinese spacecraft have imaged orbiting U.S. commercial and military assets as the two countries seek to demonstrate and ...

The Photogrammetry and Image Analysis department focuses on developing operational image processors, deriving geometric (photogrammetry) and semantic (image analysis) information from digital remote ...