Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images

The main challenge in extracting coastal aquaculture ponds is how to weaken the influence of the “same-spectrum foreign objects” effect and how to improve the definition of the boundary and accuracy of the extraction results of coastal aquaculture ponds. In this study, a recognition model based on t...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 14; no. 16; p. 4001
Main Authors:	Zou, Zhaohui, Chen, Chao, Liu, Zhisong, Zhang, Zili, Liang, Jintao, Chen, Huixin, Wang, Liyan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 17-08-2022
Subjects:	Accuracy Aquaculture Archipelagoes Biodiversity Classification coastal aquaculture ponds Coastal processes Coastal zone Coasts Deep learning Fish production Fisheries Islands Marine resources Marine resources management object detection Pond construction Ponds Remote sensing remote sensing image Resource management Sustainable development Target recognition Teaching methods Technical services U2-Net China
Online Access:	Get full text
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