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Proceedings Paper

Adaptive hyperspectral band selection
Author(s): M. S. Alam; S. Ochilov
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Paper Abstract

We present a new technique for adaptive band selection from hyperspectral image cubes for detecting small targets using an anomaly detector. The proposed technique ensures the selection of lowest number of spectral bands using Mahalanobis distance, maximum affordable extra noise variance, and Constant False Alarm Rate (CFAR) anomaly detector threshold. Since the target is small, band selection based only on Mahalanobis distance is not adequate and the bands which can withstand extra noise should be chosen. In addition, thresholding must be considered to avoid misclassification of target. The proposed technique yields comparatively low false alarm rate even with a few bands. For real time applications, acousto-optic tunable filter based spectral imagers may be used for acquiring hyperspectral images and for selecting the bands.

Paper Details

Date Published: 10 September 2005
PDF: 8 pages
Proc. SPIE 5908, Optical Information Systems III, 590812 (10 September 2005); doi: 10.1117/12.617841
Show Author Affiliations
M. S. Alam, Univ. of South Alabama (United States)
S. Ochilov, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 5908:
Optical Information Systems III
Bahram Javidi; Demetri Psaltis, Editor(s)

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