| Issue |
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|
|
|---|---|---|
| Article Number | 01062 | |
| Number of page(s) | 5 | |
| Section | Computer Technology and System Design | |
| DOI | https://doi.org/10.1051/itmconf/20224501062 | |
| Published online | 19 May 2022 | |
Landslide detection of optical remote sensing image based on attention and u-net
Earthquake Agency of Inner Mongolia Autonomous Region, Hohhot, China
* Corresponding author: yym_2005@163.com
With the improvement of remote sensing image technology, researchers pay more and more attention to detecting landslides in optical remote sensing images. In this paper, the landslide is detected by semantic segmentation model based on deep learning, U-shaped network is used to enhance the extraction ability of landslide features, and the model pays more attention to landslide area through attention mechanism, so as to make the model detect landslide more accurately. Through experiments on the Bijie Landslide Dataset, the values of OA and mIoU in this model are increased by 1% and 16% respectively. The boundary of landslide is more straightforward and more accurate.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.