APO-AN feature selection based Glorot Init Optimal TransCNN landslide detection from multi source satellite imagery
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17090-2.pdf
Reference28 articles.
1. Bao S, Liu J, Wang L, Konečný M, Che X, Shenghua Xu, Li P (2022) Landslide susceptibility mapping by fusing convolutional neural networks and vision transformer. Sensors 23(1):88
2. Bao S, Liu J, Wang L, Zhao X (2022) Application of transformer models to landslide susceptibility mapping. Sensors 22(23):9104
3. Wang Z, Sun T, Kun Hu, Zhang Y, Xiaqiong Yu, Li Y (2022) A deep learning semantic segmentation method for landslide scene based on transformer architecture. Sustainability 14(23):16311
4. Ghorbanzadeh O, Xu Y, Zhao H, Wang J, Zhong Y, Zhao D, Zang Q et al (2022) The Outcome of the 2022 landslide4sense competition: advanced landslide detection from multisource satellite imagery. IEEE J Sel Top Appl Earth Obs Remote Sens 15:9927–9942
5. Li Yi, Wang P, Feng Q, Ji X, Jin D, Gong J (2023) Landslide detection based on shipborne images and deep learning models: a case study in the Three Gorges Reservoir Area in China. Landslides 20(3):547–558
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