NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery

待确认 10 由是的高伟光发布于 2024/11/21 20:43:01

DOI:10.1109/TGRS.2022.3140323
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/TGRS.2022.3140323

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：The use of deep learning for water extraction requires precise pixel-level labels. However, it is very difficult to label high-resolution remote-sensing images at the pixel level. Therefore,

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