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    • Research on Semantic Segmentation Algorithm for Remote Sensing Images Based on Image Decomposition to Remove Entanglement and Edge Guidance

    • “The latest research has broken through the difficulty of semantic segmentation in remote sensing images and proposed a segmentation model based on disentanglement, significantly improving segmentation performance.”
    • Pages: 1-16(2025)   

      Received：06 January 2009，

      Published Online：16 April 2025，

    • DOI： 10.11834/jrs.20254525     

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  • Lian Yuanfeng，Li Keke. XXXX. Research on Semantic Segmentation Algorithm for Remote Sensing Images Based on Image Decomposition to Remove Entanglement and Edge Guidance. National Remote Sensing Bulletin， XX（XX）：1-16 DOI： 10.11834/jrs.20254525.
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WANG Yifan 西南石油大学 计算机与软件学院
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相关机构

School of Computer Science and Software Engineering, Southwest Petroleum University
Remote Sensing Signal and Image Processing Laboratory, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore
Center of Hyperspectral Imaging in Remote Sensing of Dalian Maritime University
School of Geographical Sciences, Nanjing University of Information Science & Technology
School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology
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