Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 3, 397(2023)

Water body segmentation in remote sensing images based on multi-scale fusion attention module improved UNet

Tian-tian SHI1,2, Zhong-hua GUO1,2、*, Xiang YAN1,2, and Shi-qin WEI1,2
Author Affiliations
  • 1School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China
  • 2Ningxia Key Lab on Information Sensing & Intelligent Desert,Ningxia University,Yinchuan 750021,China
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    References(35)

    [28] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[C](2014).

    [32] LIU W, RABINOVICH A, BERG A C. Parsenet: looking wider to see better[J/OL]. arXiv, 1506-04579(2015).

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    Tian-tian SHI, Zhong-hua GUO, Xiang YAN, Shi-qin WEI. Water body segmentation in remote sensing images based on multi-scale fusion attention module improved UNet[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(3): 397

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    Paper Information

    Category: Research Articles

    Received: Jul. 7, 2022

    Accepted: --

    Published Online: Apr. 3, 2023

    The Author Email: Zhong-hua GUO (guozhh@nxu.edu.cn)

    DOI:10.37188/CJLCD.2022-0232

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