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Proceedings Paper

Band selection for recognition using moment invariants
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Paper Abstract

We use moment invariants for the recognition of regions in hyperspectral images under different illumination conditions. These moment invariants can be computed efficiently from the spectral histograms of the image regions. We propose methods for improving the recognition rate by choosing bands that improve the accuracy of the model underlying the invariants. These bands are also optimized to distinguish different materials. We demonstrate the use of multiple subsets of bands for invariant recognition. Experiments on DIRSIG images are presented to demonstrate the use of these methods.

Paper Details

Date Published: 1 June 2005
PDF: 9 pages
Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); doi: 10.1117/12.603960
Show Author Affiliations
Chia-Yun Kuan, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 5806:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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