Share Email Print
cover

Proceedings Paper

Invariance concepts in spectral analysis
Author(s): Alan Schaum
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Methods are developed for insuring robust discrimination performance in detection problems with epistemic unknowns. The problem is first solved for the class of problems exhibiting some symmetry, as expressed by invariances to some group of feature space transformations. The determination of whether a problem admits a uniformly most powerful invariant (UMPI) solution (and how to derive it) is solved with a new and simple procedure. This motivates an approach for solving problems where a symmetry is gracefully broken, which leads in turn to a general approach for producing robust detectors. This introduces a new category of detector, the UMPIC (UMPI constrained). Finally, principles of UMPIC construction are shown to apply to problems exhibiting no invariances.

Paper Details

Date Published: 5 May 2017
PDF: 11 pages
Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 101980H (5 May 2017); doi: 10.1117/12.2260469
Show Author Affiliations
Alan Schaum, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 10198:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

© SPIE. Terms of Use
Back to Top