HB-Net: Hybrid Label and Boundary-Optimized Network for Weakly Supervised Raft Aquaculture Areas Extraction in Remote Sensing Images

Accurate extraction of raft aquaculture areas from remote sensing imagery is essential for sustainable marine resource management. Conventional deep learning approaches rely heavily on large-scale pixelwise annotations, which are costly and impractical for large-area monitoring. To alleviate this bo...

詳細記述

書誌詳細

主要な著者:	Binge Cui, Faqi Wang, Mengting Liu, Jun Xing, Haojie Li, Ling Huang
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Boundary refinement (BR) geometric prior hybrid labeling scribble annotation weakly supervised learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11258899/
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