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    • An Improved DS-InSAR Method Based on Dynamic-Confidence-Intervals for Karst Ground Deformation Monitoring: A Case Study of the Dead Sea

    • In the field of karst collapse monitoring, researchers have proposed an improved homogeneous pixel recognition algorithm, which effectively enhances the monitoring accuracy and stability of DS InSAR technology, providing important data support and theoretical reference for a deeper understanding of karst collapse disasters in the Dead Sea area.
    • Pages: 1-16(2026)   

      Received:14 August 2025

      Published Online:15 January 2026

    • DOI: 10.11834/jrs.20265299     

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  • ZHU Lingjie,XU Wenbin,XIE Lei,NOF Ran Novitsky,SHI Qining. XXXX. An Improved DS-InSAR Method Based on Dynamic-Confidence-Intervals for Karst Ground Deformation Monitoring: A Case Study of the Dead Sea. National Remote Sensing Bulletin, XX(XX):1-16 DOI: 10.11834/jrs.20265299.
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相关作者

YAN Shiyong 中国矿业大学 自然资源部国土环境与灾害监测重点实验室
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ZHAO Feng 中国矿业大学 环境与测绘学院;自然资源部国土环境与灾害监测重点实验室
FENG Han 中国矿业大学 环境与测绘学院;自然资源部国土环境与灾害监测重点实验室
YAN Shiyong 中国矿业大学 环境与测绘学院;自然资源部国土环境与灾害监测重点实验室

相关机构

MNR Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology
Henan No.5 Institute of Resources and Environment Investigation
School of Environment Science and Spatial Information, China University of Mining and Technology
The Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology
Tianjin Institute of Surveying and Mapping Co., Ltd.
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