Detecting low-contrast targets from complex backgrounds in remote sensing, such as landslides, poses fundamental challenges for learning discriminative representations under limited expert annotations. Deep metric learning (DML) provides a principled framework for learning discriminative representations by explicitly s...
Jun-Jie Cai, Ming-Tao Ding, Mohib Ullah et al.· IEEE Journal of Selected Top...· 0 citations
Spatiotemporal fusion (STF) represents a vital solution for continuous high-resolution Earth observation. Despite the increasing abundance of historical satellite archives, most existing STF methods are constrained by a limited number of auxiliary reference images (typically one or two), leading to underutilized multit...
Di-Zhou Guo, Qianqian Jia, Xuan Wang et al.· IEEE Transactions on Geoscie...· 0 citations
Semantic segmentation of remote sensing imagery has been widely applied in landslide identification, effectively addressing the time-consuming and labor-intensive nature of manual visual interpretation. However, existing models still face challenges in extracting multiscale features and accurately delineating boundarie...
Zixun Xie, Chuang Song, Xingmin Cai et al.· IEEE Geoscience and Remote S...· 0 citations
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