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    • Research on semantic segmentation algorithm for remote sensing images based on image decomposition to remove entanglement and edge guidance

    • In the field of semantic segmentation of remote sensing images, experts have proposed a model based on de entanglement, which effectively improves segmentation performance and provides a new solution for solving the problem of spectral confusion of ground objects.
    • Vol. 29, Issue 11, Pages: 3347-3362(2025)   

      Received:26 November 2024

      Published:07 November 2025

    • DOI: 10.11834/jrs.20254525     

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  • Lian Y F and Li K K. 2025. Research on semantic segmentation algorithm for remote sensing images based on image decomposition to remove entanglement and edge guidance. National Remote Sensing Bulletin, 29(11):3347-3362 DOI: 10.11834/jrs.20254525.
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相关作者

Li Keke 中国石油大学(北京) 人工智能学院
Lian Yuanfeng 中国石油大学(北京) 人工智能学院;中国石油大学(北京) 石油数据挖掘北京市重点实验室
KU Minfan 湖北大学 资源环境学院
ZHANG Liang 湖北大学 资源环境学院;天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
DENG Jiwei 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Guangshuai 天津市轨道交通导航定位及时空大数据技术重点实验室;中国铁路设计集团有限公司
WANG Xinwen 湖北大学 资源环境学院
LIU Hengzhi 湖北大学 资源环境学院

相关机构

China Railway Design Group Limited
Tianjin Key Laboratory of Rail Transit Navigation Positioning and Spatio-temporal Big Data Technology
Faculty of Resources and Environmental Science, Hubei University
School of Computer Science and Software Engineering, Southwest Petroleum University
Center of Hyperspectral Imaging in Remote Sensing of Dalian Maritime University
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