The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning

The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning

Considering the great time and labor consumption involved in conventional hazard assessment methods in compiling landslide inventory, the construction of a transferable landslide susceptibility prediction model is crucial. This study employs UAV images as data sources to interpret the typical alpine...

Full description

Bibliographic Details
Main Authors: Xiao Wang, Di Wang, Xinyue Li, Mengmeng Zhang, Sizhi Cheng, Shaoda Li, Jianhui Dong, Luting Xu, Tiegang Sun, Weile Li, Peilian Ran, Liang Liu, Baojie Wang, Ling Zhao, Xinyi Huang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
landslide susceptibility prediction
alpine valley area
deep neural network
support vector machine
transfer learning
Online Access:https://www.mdpi.com/2072-4292/16/2/347

Internet

https://www.mdpi.com/2072-4292/16/2/347

Similar Items