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 ...

Special Issue No. 97: Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems (WINTER 2019), pp. 136-142 (7 pages) Published By: Coastal Education & Research Foundation, Inc. In ...

The Photogrammetry and Image Analysis Department develops operational image processors that derive geometric (photogrammetry) and semantic (image analysis) information from digital remote sensing ...

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 ...

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 ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Bajorski, Peter, et al. "Fusing High Spatial Resolution RapidEye and High Temporal Resolution MODIS Imagery for Land Cover Classification." Remote Sensing TBD. (2015 ...

Mountain Research and Development, Vol. 29, No. 2, Mountain Forests in a Changing World (May 2009), pp. 177-183 (7 pages) The goal of the study was to derive up-to-date and complex information on the ...