Funder
National Natural Science Foundation of China
Natural Science Foundation of Sichuan Province
China Postdoctoral Science Foundation
National Postdoctoral Program for Innovative Talents
National Key Research and Development Program of China
Reference53 articles.
1. Data-driven classification of landslide types at a national scale by using Artificial Neural Networks;Amato;Int. J. Appl. Earth Obs. Geoinf.,2021
2. A new algorithm for landslide dynamic monitoring with high temporal resolution by Kalman filter integration of multiplatform time-series InSAR processing;Cai;Int. J. Appl. Earth Obs. Geoinf.,2022
3. Chen L. C., Papandreou G., Schroff F., Adam H. 2017. Rethinking atrous convolution for semantic image segmentation. arXiv: 1706.05587.
4. Ding A., Zhang Q., Zhou X., Dai B. 2016. Automatic recognition of landslide based on CNN and texture change detection. In: Youth Academic Annual Conf. of Chinese Association of Automation (YAC), 444-448.
5. L-Unet: A landslide extraction model using multiscale feature fusion and attention mechanism;Dong;Remote Sens.,2022
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献