Monitoring Landslides along the Jinsha River Basin Based on Dempster-Shafer Evidence Theory with Multi-Source INSAR Time Series
Author:
Affiliation:
1. Chinese Academy of Sciences,National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute,Beijing,China
2. University of Tokyo,Earthquake Research Institute,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641818.pdf?arnumber=10641818
Reference15 articles.
1. Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China
2. Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA
3. Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry
4. Refined InSAR method for mapping and classification of active landslides in a high mountain region: Deqin County, southern Tibet Plateau, China
5. A Mathematical Theory of Evidence
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