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S2Looking: A Satellite Side-Looking Dataset for Building Change Detection. (arXiv:2107.09244v3 [cs.CV] UPDATED)
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 …
More from arxiv.org / cs.CV updates on arXiv.org
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