GF7S: A large-scale GaoFen-7 stereo dataset and self-supervised adaptation of FoundationStereo for high-resolution DSM generation
Yinxia Cao, Fenzhen Su, Dongjie Fu, Wenzhou Wu et autres
Accurate inversion of high-resolution digital surface models (DSMs) is crucial for urban science and environmental monitoring. Fully supervised deep learning has been widely adopted for DSM generation from stereo satellite imagery, but its dependence on costly ground-truth labels limits scalability in label-scarce …
cn (code pays fourni par la source)
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ISPRS Journal of Photogrammetry and Remote Sensing