Share Email Print
cover

Proceedings Paper

Detection of anomalous activity in hyperspectral imaging: metrics for evaluating algorithms
Author(s): Gil Sharon; Roee Enbar; Stanley R. Rotman; Dan G. Blumberg; Ariel Schlamm; David Messinger
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

In this paper, we consider detecting man-made objects in natural images. We segment the image into tiles; we consider a variety of statistical metrics and correlate them to the presence of man-made targets. To quantify the metric, we apply a method of implanting targets and evaluating the resulting ROC (Receiver Operating Characteristic) curves. We rank previously reported algorithms and develop new ones in this paper.

Paper Details

Date Published: 9 May 2012
PDF: 6 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900D (9 May 2012); doi: 10.1117/12.915346
Show Author Affiliations
Gil Sharon, Ben-Gurion Univ. of the Negev (Israel)
Roee Enbar, Ben-Gurion Univ. of the Negev (Israel)
Stanley R. Rotman, Ben-Gurion Univ. of the Negev (Israel)
Dan G. Blumberg, Ben-Gurion Univ. of the Negev (Israel)
Ariel Schlamm, Rochester Institute of Technology (United States)
David Messinger, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

© SPIE. Terms of Use
Back to Top