Semi-supervised learning network for deep-sea nodule mineral image segmentation

The accurate segmentation of deep-sea nodule mineral images is crucial for scientific mining. However, due to the low contrast of deep-sea images and the varying sizes of nodule minerals, existing methods are not effective in segmenting these images. Furthermore, fully supervised deep learning metho...

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Autori principali:	Zhongjun Ding, Chen Liu, Xingyu Wang, Guangyang Ma, Chanjuan Cao, Dewei Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-01-01
Serie:	Applied Ocean Research
Soggetti:	Deep-sea nodule mineral Semi-supervised learning Image segmentation Global and local feature extraction
Accesso online:	http://www.sciencedirect.com/science/article/pii/S0141118724004772
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