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Island region segmentation and Coastline Extraction Based on deep learning

Mingsheng   Zhang Yonglin   Xie Rongan  
[Abstract]: In this paper, a lightweight deep learning model laenet method is used to segment and extract the boundary between Qi'ao Island and the ocean using landsat-8 remote sensing image data. Compared with the traditional depth model, the lightweight laenet model only needs to make one remote sensing image tag to generate training data, which can realize the region segmentation and boundary extraction of 8 scenes including Qi'ao Island remote sensing image. The results show that the work flow of the method introduced in this paper is simple, can reduce the workload, improve the efficiency and accuracy of results, and can provide reference for similar projects.
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穿紧身裤尿湿

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