Fw-U-Net: a new satellite image segmentation of forest and water based on U-Net structure-Reference-Cited by-同舟云学术

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Fw-U-Net: a new satellite image segmentation of forest and water based on U-Net structure

Published:2022-11-23 Issue: Volume: Page:
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Container-title:Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022)
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Author:

Wang Wentao,Huang Xuanyao,Liu Mingjie

Publisher

SPIE

Reference13 articles.

1. A Novel Coarse-to-Fine Segmentation Method for Pancreatic Cancer[C];Zhisheng,2020

2. Deep learning for brain disorder diagnosis based on fMRI images

3. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

4. U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

5. An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Forest stand segmentation with multi-temporal Sentinel-2 imagery and superpixels;Journal of Applied Remote Sensing;2024-03-26

2. Deep Learning Technique For Effective Segmentation Of Water Bodies Using Remote Sensing Images;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

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