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    • Hybrid spatial pyramid pooling network to change detection for high resolution remote sensing images

    • In the field of remote sensing image change detection, researchers have proposed HSPPNet, which effectively enhances the performance of deep learning change detection and provides a solution to the imbalance between changed and unchanged classes.
    • Vol. 29, Issue 1, Pages: 279-289(2025)   

      Received:23 June 2023

      Published:07 January 2025

    • DOI: 10.11834/jrs.20233229     

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  • Shao P and Gao Z A. 2025. Hybrid spatial pyramid pooling network to change detection for high resolution remote sensing images. National Remote Sensing Bulletin, 29(1):279-289 DOI: 10.11834/jrs.20233229.
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相关作者

GAO Ziang 三峡大学 湖北省水电工程智能视觉监测重点实验室;三峡大学 计算机与信息学院
LIN Liupeng 武汉大学 资源与环境科学学院
LI Jie 武汉大学 测绘学院
SHEN Huanfeng 武汉大学 资源与环境科学学院;湖北珞珈实验室
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HE Xue 西安科技大学 测绘科学与技术学院
LI Danyang 中国地质大学(武汉) 国家地理信息系统工程技术研究中心
YUE Hui 西安科技大学 测绘科学与技术学院

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