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Proceedings Paper

Real-time detection of targets in hyperspectral images using radial basis neural network filtering
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Paper Abstract

A spectral target recognition technique has been developed that detects targets in hyperspectral images in real time. The technique is based on the configuration of a radial basis neural network filter that is specific for a particular target spectral signature or series of target spectral signatures. Detection of targets in actual 36-band CASI, and 210-band HYDICE images is compared to existing recognition techniques and results in considerable reduction in overall image processing time and greater accuracy than existing spectral processing algorithms.

Paper Details

Date Published: 24 September 2007
PDF: 9 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960E (24 September 2007); doi: 10.1117/12.732523
Show Author Affiliations
Tom Thomas, Univ. of South Alabama (United States)
M. Serkan Ozkan, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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