Hybridization of hyperspectral imaging target detection algorithm chains

David C. Grimm; David W. Messinger; John P. Kerekes; John R. Schott

doi:10.1117/12.605889

1 June 2005 Hybridization of hyperspectral imaging target detection algorithm chains

David C. Grimm, David W. Messinger, John P. Kerekes, John R. Schott

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.605889
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Detection of a known target in an image can be accomplished using several different approaches. The complexity and number of steps involved in the target detection process makes a comparison of the different possible algorithm chains desirable. Of the different steps involved, some have a more significant impact than others on the final result-the ability to find a target in an image. These more important steps often include atmospheric compensation, noise and dimensionality reduction, background characterization, and detection (matched filtering for this research). A brief overview of the algorithms to be compared for each step will be presented. This research seeks to identify the most effective set of algorithms for a particular image or target type. Several different algorithms for each step will be presented, to include ELM, FLAASH, MNF, PPI, MAXD, the structured background matched filters OSP, and ASD. The chains generated by these algorithms will be compared using the Forest Radiance I HYDICE data set. Finally, receiver operating characteristic (ROC) curves will be calculated for each algorithm chain and, as an end result, a comparison of the various algorithm chains will be presented.

Citation Download Citation

David C. Grimm, David W. Messinger, John P. Kerekes, and John R. Schott "Hybridization of hyperspectral imaging target detection algorithm chains", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.605889

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