Potential Landslide Identification Based on Improved YOLOv8 and InSAR Phase-Gradient Stacking

Landslides, as a major geological hazard, caused the significant threats to human life and property. Therefore, the identification of potential landslides is a crucial concern. This study combines synthetic aperture radar interferometry phase-gradient stacking with deep learning to achieve efficient...

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Bibliographic Details
Main Authors: Yanrong Mao, Ruiqing Niu, Bingquan Li, Jun Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10529526/