Jan. 12, 2022, 2:10 a.m. | Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Shouye Lv, Bitao Jiang

cs.CV updates on arXiv.org arxiv.org

Building-change detection underpins many important applications, especially
in the military and crisis-management domains. Recent methods used for change
detection have shifted towards deep learning, which depends on the quality of
its training data. The assembly of large-scale annotated satellite imagery
datasets is therefore essential for global building-change surveillance.
Existing datasets almost exclusively offer near-nadir viewing angles. This
limits the range of changes that can be detected. By offering larger
observation ranges, the scroll imaging mode of optical satellites presents an …

arxiv building change cv dataset detection satellite

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