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Proceedings Paper

Anomaly detection in hyperspectral imagery
Author(s): Chein-I Chang; Shao-Shan Chiang; Irving W. Ginsberg
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Paper Abstract

Anomaly detection presented in this paper does not need any kind of target information. In other words, target information plays no role in anomaly detection. The purpose of our anomaly detection is to locate and search for targets which are generally unknown, but relatively small with low probabilities in an image scene. These anomalous targets cannot be identified by prior knowledge. Two approaches are considered in this paper, the RX algorithm developed by Reed and Yu and a uniform target detector (UTD) derived from the low probability detection in Harsanyi's dissertation, both of which operate a matched filter form with different matched signals used in the individual approaches. The matched signal used in the RX algorithm is the pixel vector r while the UTD using the unity vector 1 the matched signal. In addition, they both can be implemented in real-time.

Paper Details

Date Published: 1 June 2001
PDF: 8 pages
Proc. SPIE 4383, Geo-Spatial Image and Data Exploitation II, (1 June 2001); doi: 10.1117/12.428250
Show Author Affiliations
Chein-I Chang, Univ. of Maryland/Baltimore County (United States)
Shao-Shan Chiang, Univ. of Maryland/Baltimore County (Taiwan)
Irving W. Ginsberg, U.S. Department of Energy Remote Sensing Lab. (United States)

Published in SPIE Proceedings Vol. 4383:
Geo-Spatial Image and Data Exploitation II
William E. Roper, Editor(s)

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