A Hybrid Model for Disaster Damage Detection Using Satellite Images
Author:
Affiliation:
1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering (AIE),Chennai,India,601103
2. New Horizon College of Engineering,Department of AI & ML,Bangalore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537666.pdf?arnumber=10537666
Reference35 articles.
1. Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
2. Large‐scale building damage assessment using a novel hierarchical transformer architecture on satellite images
3. Assessing the Performance of Multi-Resolution Satellite SAR Images for Post-Earthquake Damage Detection and Mapping Aimed at Emergency Response Management
4. A Novel Approach Combining Particle Swarm Optimization and Deep Learning for Flash Flood Detection from Satellite Images
5. Using 3-D Convolution and Multimodal Architecture for Earthquake Damage Detection Based on Satellite Imagery and Digital Urban Data
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