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Proceedings Paper

Multispectral change detection for finding small targets using MANTIS-3T data
Author(s): Joseph Dirbas; Paula Henderson; Robert Fries; Alexander R. Lovett
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Paper Abstract

PAR Government Systems Corporation (PAR) has deployed their turret mounted Mission Adaptable Narrowband Tunable Imaging System (MANTIS-3T) and collected nearly 300 GBytes of multispectral data over mine-like targets in a desert environment in support of mine counter measures (MCM), intelligence, surveillance, and reconnaissance study applications. Multispectral processing algorithms such as RX and SEM have demonstrated success with hyperspectral data when searching for large targets. As target size decreases relative to sensor resolution, false alarms increase and performance declines. Detection of recently placed mine-like objects, however, can be enhanced by adding a temporal dimension to the spectral processing. An automated color-to-color and frame-to-frame registration algorithm has been developed as a first, and required, step to an automated multispectral change detection algorithm. The automated registration algorithms are used to process multispectral desert data collected with MANTIS-3T. Performance results and processing difficulties are reported.

Paper Details

Date Published: 4 May 2006
PDF: 10 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62330B (4 May 2006); doi: 10.1117/12.665084
Show Author Affiliations
Joseph Dirbas, PAR Government Systems Corp. (United States)
Paula Henderson, PAR Government Systems Corp. (United States)
Robert Fries, PAR Government Systems Corp. (United States)
Alexander R. Lovett, NAVAIR (United States)

Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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