Paper
29 December 2004 Segmentation and classification with point target detection
Yoni Simson, Max Cohen, Stanley R. Rotman
Author Affiliations +
Proceedings Volume 5617, Optically Based Biological and Chemical Sensing for Defence; (2004) https://doi.org/10.1117/12.572815
Event: European Symposium on Optics and Photonics for Defence and Security, 2004, London, United Kingdom
Abstract
In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoni Simson, Max Cohen, and Stanley R. Rotman "Segmentation and classification with point target detection", Proc. SPIE 5617, Optically Based Biological and Chemical Sensing for Defence, (29 December 2004); https://doi.org/10.1117/12.572815
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Target detection

Image processing algorithms and systems

Hyperspectral target detection

Principal component analysis

Palladium

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