Using BEMD in CNN to Identify Landslide in Satellite Image-Reference-Cited by-同舟云学术

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Using BEMD in CNN to Identify Landslide in Satellite Image

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on System Science and Engineering (ICSSE)
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Author:

Bui Trong-An,Lee Pei-Jun,Lum Kai-Yew,Chen Chia-Ray,Shiu Shiuan-Hal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8818972/8823093/08823128.pdf?arnumber=8823128

Cited by 6 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

1. A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement;European Journal of Remote Sensing;2023-12-11

2. Enhance the Accuracy of Landslide Detection in UAV Images Using an Improved Mask R-CNN Model: A Case Study of Sanming, China;Sensors;2023-04-26

3. Deep Learning in Landslide Studies: A Review;Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022;2023

4. Landslide detection in the Himalayas using machine learning algorithms and U-Net;Landslides;2022-02-23

5. SIFT-Enhanced CNN Based Objects Recognition for Satellite Image;2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2020-09-28

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