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This repository contains the official implementation of the paper:Landslide Mapping Based on Hybrid CNN-Transformer Network and Deep Transfer Learning Using Remote Sensing Images with Topographic and Spectral Features SCDUNet++ Implementation. HyperAI reported and interpreted the paper:Transfer learning helps! Chengdu University of Technology builds SCDUNet++ model for landslide mapping.

Citation

@article{WU2024103612,
title = {Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features},
journal = {International Journal of Applied Earth Observation and Geoinformation},
volume = {126},
pages = {103612},
year = {2024},
issn = {1569-8432},
doi = {https://doi.org/10.1016/j.jag.2023.103612},
url = {https://www.sciencedirect.com/science/article/pii/S1569843223004363},
author = {Lei Wu and Rui Liu and Nengpan Ju and Ao Zhang and Jingsong Gou and Guolei He and Yuzhu Lei}
}