Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network

Precise monitoring and extraction of coastal aquaculture ponds are crucial for ecological conservation and the sustainable use of coastal wetlands. However, traditional image analysis techniques often struggle to efficiently extract aquaculture ponds in the complex, heterogeneous environments of coa...

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Vydané v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 18; s. 11342 - 11357
Hlavní autori:	Qi, Jian, Ji, Min, Jin, Fengxiang, Xu, Jianran, Ji, Hanyu, Wang, Juan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Ablation Aquaculture Automation Boundaries Coastal aquaculture ponds (CAP) Decoding Deep learning Earth edge-supervised multi-task Feature extraction fine-grained extraction Image analysis Image edge detection Image processing Imagery Marine aquaculture Multitasking Neural networks Optimization Ponds Remote sensing remote sensing images (RSI) Sea measurements Sustainable use Training Wetlands
ISSN:	1939-1404, 2151-1535
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