Evaluation of Color Anomaly Detection in Multispectral Images for Synthetic Aperture Sensing

Evaluation of Color Anomaly Detection in Multispectral Images for Synthetic Aperture Sensing

In this article, we evaluate unsupervised anomaly detection methods in multispectral images obtained with a wavelength-independent synthetic aperture sensing technique called Airborne Optical Sectioning (AOS). With a focus on search and rescue missions that apply drones to locate missing or injured...

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Bibliographic Details
Main Authors: Francis Seits, Indrajit Kurmi, Oliver Bimber
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Eng
Subjects:
multispectral
image processing
anomaly detection
search and rescue
unmanned aerial vehicles
airborne optical sectioning
Online Access:https://www.mdpi.com/2673-4117/3/4/38

Internet

https://www.mdpi.com/2673-4117/3/4/38

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