Band selection for recognition using moment invariants

Chia-Yun Kuan; Glenn Healey

doi:10.1117/12.603960

1 June 2005 Band selection for recognition using moment invariants

Chia-Yun Kuan, Glenn Healey

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.603960
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Chia-Yun Kuan and Glenn Healey "Band selection for recognition using moment invariants", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.603960

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