A Novel Method for Extracting Time Series Information of Deformation Area of a Single Landslide Based on Improved U-Net Neural Network
oleh: Bibo Dai, Bibo Dai, Bibo Dai, Yunmin Wang, Yunmin Wang, Chunyang Ye, Qihang Li, Canming Yuan, Song Lu, Song Lu, Yuyang Li
| Format: | Article |
|---|---|
| Diterbitkan: | Frontiers Media S.A. 2021-12-01 |
Deskripsi
This paper proposed an improved U-Net fully convolutional neural network to automatically extract a single landslide deformation information under time series based on the physical model experiments. This method extracts time series information for three different landslide deformation ranges. Compared to U-Net and mainstream superpixel method, evaluation indicators of DSC, VOE and RVD verify the high recognition accuracy and strong robustness of our method.