* 该数据集支持在线使用，点击此处跳转。

此存储库包含论文的官方实现：基于混合 CNN-Transformer 网络的山体滑坡测绘和使用具有地形和光谱特征的遥感图像进行深度迁移学习 SCDUNet++ 实现。 HyperAI 超神经为该论文进行了报道解读：迁移学习帮大忙！成都理工大学搭建 SCDUNet++ 模型进行滑坡测绘。

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}
}