HIGHLIGHTS
- who: Xin Huang and colleagues from the School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China have published the research work: Special Section Guest Editorial: Change Detection Using Multi-Source Remotely Sensed Imagery, in the Journal: (JOURNAL)
- what: In this work, co-registered image pairs were concatenated as input, and a nested deep architecture was designed to extract the spatial feature at multiple scales. In this study, for heterogeneous synthetic aperture radar image and optical image change detection, a pixel-level mapping was designed to transform multi-source images in a uniform feature . . .
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