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 ...
Tracking unprecedented changes in land use over the past century, global land cover maps provide key insights into the impact of human settlement on the environment. Researchers from Sun Yat-sen ...
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 ...
The Photogrammetry and Image Analysis department focuses on developing operational image processors, deriving geometric (photogrammetry) and semantic (image analysis) information from digital remote ...
The Digital Imaging and Remote Sensing Image Generation (DIRSIG™) model is a physics-driven synthetic image generation model developed by the Digital Imaging and Remote Sensing Laboratory at Rochester ...
The “Hyperspectral Remote Sensing” team provides methods and products for optical imaging sensors on satellites and aircrafts. In the area of spaceborne missions, operational fully-automated systems ...
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