Hierarchical pyramid refined U-Net for creating the first 2 m resolution multi-class national-scale spatial distribution dataset of offshore observable marine aquaculture in China

Hierarchical pyramid refined U-Net for creating the first 2 m resolution multi-class national-scale spatial distribution dataset of offshore observable marine aquaculture in China

Precise extraction and dynamic monitoring of observable offshore marine aquaculture (OOMA) areas in remote sensing imagery are essential for the rational layout of offshore aquaculture zones and assessing the marine ecological environment. At present, national-scale offshore marine aquaculture spati...

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Bibliographic Details
Main Authors: Yanlin Chen, Guojin He, Ranyu Yin, Guizhou Wang, Xueli Peng
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
Multi-source remote sensing imagery
high spatial resolution
observable offshore marine aquaculture
semantic segmentation
U-Net
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2520471
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