Adaptive hyperspectral band selection

M. S. Alam; S. Ochilov

doi:10.1117/12.617841

10 September 2005 Adaptive hyperspectral band selection

M. S. Alam, S. Ochilov

Proceedings Volume 5908, Optical Information Systems III; 590812 (2005) https://doi.org/10.1117/12.617841
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

M. S. Alam and S. Ochilov "Adaptive hyperspectral band selection", Proc. SPIE 5908, Optical Information Systems III, 590812 (10 September 2005); https://doi.org/10.1117/12.617841

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available