Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images

Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images

Human detection in images using deep learning has been a popular research topic in recent years and has achieved remarkable performance. Training a human detection network is useful for first responders to search for trapped victims in debris after a disaster. In this paper, we focus on the detectio...

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Bibliographic Details
Main Authors: Ning Zhang, Francesco Nex, George Vosselman, Norman Kerle
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
victim detection
deep learning
unsupervised learning
generative adversarial network
image harmonization
emergency rescue
Online Access:https://www.mdpi.com/2072-4292/14/13/2977

Internet

https://www.mdpi.com/2072-4292/14/13/2977

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