Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model

Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model

Landslides have been frequently occurring in the high mountainous areas in China and poses serious threats to peoples’ lives and property, economic development, and national security. Detecting and monitoring quiescent or active landslides is important for predicting risks and mitigating losses. How...

Full description

Bibliographic Details
Main Authors: Haojia Guo, Bangjin Yi, Qianxiang Yao, Peng Gao, Hui Li, Jixing Sun, Cheng Zhong
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
landslides
Sentinel-1
InSAR
deep learning
high resolution image
Online Access:https://www.mdpi.com/1424-8220/22/16/6235

Similar Items

Similar Items