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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