Anomaly detection in hyperspectral imagery

Chein-I Chang; Shao-Shan Chiang; Irving W. Ginsberg

doi:10.1117/12.428250

1 June 2001 Anomaly detection in hyperspectral imagery

Chein-I Chang, Shao-Shan Chiang, Irving W. Ginsberg

Proceedings Volume 4383, Geo-Spatial Image and Data Exploitation II; (2001) https://doi.org/10.1117/12.428250
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Chein-I Chang, Shao-Shan Chiang, and Irving W. Ginsberg "Anomaly detection in hyperspectral imagery", Proc. SPIE 4383, Geo-Spatial Image and Data Exploitation II, (1 June 2001); https://doi.org/10.1117/12.428250

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