Geometrical interpretation of the adaptive coherence estimator for hyperspectral target detection

Shahar Bar; Ori Bass; Alon Volfman; Tomer Dallal; Stanley R. Rotman

doi:10.1117/12.2006472

18 May 2013 Geometrical interpretation of the adaptive coherence estimator for hyperspectral target detection

Shahar Bar, Ori Bass, Alon Volfman, Tomer Dallal, Stanley R. Rotman

Proceedings Volume 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX; 87430K (2013) https://doi.org/10.1117/12.2006472
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

A hyperspectral cube consists of a set of images taken at numerous wavelengths. Hyperspectral image data analysis uses each material’s distinctive patterns of reflection, absorption and emission of electromagnetic energy at specific wavelengths for classification or detection tasks. Because of the size of the hyperspectral cube, data reduction is definitely advantageous; when doing this, one wishes to maintain high performances with the least number of bands. Obviously in such a case, the choice of the bands will be critical. In this paper, we will consider one particular algorithm, the adaptive coherence estimator (ACE) for the detection of point targets. We give a quantitative interpretation of the dependence of the algorithm on the number and identity of the bands that have been chosen. Results on simulated data will be presented.

Citation Download Citation

Shahar Bar, Ori Bass, Alon Volfman, Tomer Dallal, and Stanley R. Rotman "Geometrical interpretation of the adaptive coherence estimator for hyperspectral target detection", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430K (18 May 2013); https://doi.org/10.1117/12.2006472

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