Fanet: A deep learning framework for black and odorous water extraction

Fanet: A deep learning framework for black and odorous water extraction

ABSTRACTBlack and odorous water (BOW) is a common issue in rapidly urbanizaing developing countries. Existing methods for extracting BOW from remote sensing images focus mainly on spectral information and ignores important spatial characteristics like texture, context and orientation. Deep learning...

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Bibliographic Details
Main Authors: Guizhou Zheng, Yingying Zhao, Zixuan Pan, Zhixing Chen, Zhonghang Qiu, Tingting Zheng
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:European Journal of Remote Sensing
Subjects:
black and odorous water
deep learning
fully convolutional network
generative adversarial network
remote sensing images
semantic segmentation
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2023.2234077

Internet

https://www.tandfonline.com/doi/10.1080/22797254.2023.2234077

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