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...
An Adaptive Polyline Path Masked Attention Network (AdaPPMA-Net) is proposed for HSI-MSI fusion and extensive experiments demonstrate that AdaPPMA-Net consistently outperforms several state-of-the-art methods across multiple quantitative metrics.
Existing feature-level multisource domain adaptation (MSDA) methods mainly utilize universal alignment. However, this habit ignores the different distribution shifts in each source domain to the target domain and inevitably leads to the suppression of a single source. Furthermore, a simple fusion operation fails to act...
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
A lightweight and efficient framework that integrates CLIP and DINO foundation models to address three challenges: semantic misalignment between generic text prompts and RSI-specific visuals; static CAM quality; and incomplete object coverage is proposed.
Xin Li, Nicola Genzano, M. Gianinetto et al.· ISPRS Annals of the Photogra...· 0 citations
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