Laser Journal, Volume. 45, Issue 5, 139(2024)

Building segmentation of remote sensing image based on DeepLabV3+ network

GUO Jiang1...2, XIN Yuelan1,2,*, and XIE Qiqi12 |Show fewer author(s)
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  • 2[in Chinese]
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    References(8)

    [3] [3] Yang G, Zhang Q, Zhang G. EANet:Edge-Aware Network for the Extraction of Buildings from Aerial Images[J]. Re- mote Sensing, 2020, 12(13): 21-61.

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    [5] [5] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[M]. Lecture Notes in Computer Science. Cham:Springer, 2015, 9351: 234-241.

    [6] [6] Chen L C, Papandreou G, Kokkinos I, etal. DeepLab: Se- mantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018,40(4): 834-848.

    [8] [8] Yang M, Yu K, Chi Z, et al. DenseASPP for Semantic Segmentation inStreetScenes[C]/ / CVPR. 2018.

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    [12] [12] Hu X, Zhong Y, Wang X, et al. SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyper- spectral Imagery With High Spatial andSpectral Resolutions [J]. IEEE Transactions on Geoscience and Remote Sens- ing, 2022, 60.

    [13] [13] Jie H, Li S, Gang S, et al. Squeeze-and-Excitation Net- works[J]. IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2017, 99.

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    GUO Jiang, XIN Yuelan, XIE Qiqi. Building segmentation of remote sensing image based on DeepLabV3+ network[J]. Laser Journal, 2024, 45(5): 139

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    Paper Information

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    Received: Dec. 3, 2023

    Accepted: --

    Published Online: Oct. 11, 2024

    The Author Email: Yuelan XIN (xinyue001112@163.com)

    DOI:10.14016/j.cnki.jgzz.2024.05.139

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