Design of Automatic Disaster Detection Algorithm for Remote Sensing Images Based on Deep Learning-Reference-Cited by-同舟云学术

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Design of Automatic Disaster Detection Algorithm for Remote Sensing Images Based on Deep Learning

Published:2024-02-27 Issue: Volume:12 Page:1-7
ISSN:
Container-title:2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE)
language:
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Author:

He Feng¹,Li Li²,Li Shan¹

Affiliation:

1. School of Logistics and Management Engineering, Yunnan University of Finance and Economics,Kunming,Yunnan,China,650221

2. China West Normal University,Sichuan Key Laboratory of Conservation Biology of Sichuan Golden Monkey, College of Life Sciences,Nanchong,Sichuan,China,637001

Funder

Yunnan Provincial Science and technology department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10539644/10539645/10539754.pdf?arnumber=10539754

Reference12 articles.

1. Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets

2. Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

3. Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation

4. Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event

5. A systematic review of tropical cyclone disaster management research using remote sensing and spatial analysis

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