Thick-cloud contamination severely limits the usability of optical remote sensing imagery because cloud-covered regions may suffer from complete loss of surface information. Synthetic aperture radar (SAR) imagery provides complementary structural cues due to its cloud-penetrating capability, but the substantial cross-m...
Reconstructing high-resolution hyperspectral images (HR-HSIs) from low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) is an important multimodal remote sensing task for applications requiring both fine spatial details and reliable spectral characterization. However, existin...
BSCNet is presented, a semi-supervised framework for binary building change detection that jointly models boundary-sensitive differences and scene-dependent scale preferences and progressive ablations confirm complementary gains from the boundary, scale, and consistency components.
Su-Jin Cai, Taizhi Lv, Xing Li et al.· Symmetry· 0 citations
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