Multilabel remote sensing scene classification (ML-RSSC) aims to assign multiple semantic labels to complex high-resolution scenes. Although exhaustive expert annotation enables accurate supervision, its high cost limits large-scale applications. Low-cost labels from crowdsourcing, existing geographic products, or weak...
Xiao-Man Qi, Xing-Rui Zeng, Xiao-Tong Qi et al.· IEEE Journal of Selected Top...· 0 citations
Soil moisture (SM) is a key parameter in surface water and energy cycles, playing a vital role in agriculture, hydrology, and atmospheric science. Remote sensing (RS) has been widely applied in SM retrieval, yet most existing reviews focus on individual data sources or specific methodologies, lacking a systematic pathw...
This paper proposes the SGL-Mamba network, introducing an SGL-Mamba block that combines a parallel directional scanning mechanism with a local perception branch to effectively achieve joint modeling of global topological continuity and local crack details.
Mozi Gao, Zhonghua Weng, Jiasheng Wu et al.· Italian National Conference...· 1 citation
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