Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau

Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau

The development of landslide hazards is spatially scattered, temporally random, and poorly characterized. Given the advantages of the large spatial scale and high sensitivity of InSAR observations, InSAR is becoming one of the main techniques for active landslide identification. The difficult proble...

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Bibliographic Details
Main Authors: Yang Liu, Xin Yao, Zhenkui Gu, Zhenkai Zhou, Xinghong Liu, Xingming Chen, Shangfei Wei
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
landslide
Mask R-CNN
InSAR
deep learning
instance segmentation
Online Access:https://www.mdpi.com/2072-4292/14/14/3362

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