Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features

Author:

Wu Lei,Liu RuiORCID,Ju Nengpan,Zhang Ao,Gou Jingsong,He Guolei,Lei Yuzhu

Funder

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference72 articles.

1. Landslide mapping using object-based image analysis and open source tools;Amatya;Eng. Geol.,2021

2. Chapter 3 - Morphometric conditions underpinning the spatial and temporal dynamics of landslide hazards on the volcanics of Mt;Bamutaze,2019

3. The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks;Berman,2018

4. Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model;Bhuyan;GIScience Remote Sens.,2023

5. Rain and small earthquakes maintain a slow-moving landslide in a persistent critical state;Bontemps;Nat. Commun.,2020

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