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.
Radiance Technologies, Inc. has tested and demonstrated real-time collection and on-board processing of Multispectral Imagery (MSI). Further, the test and demonstration consisted of a real-time downlink from the aircraft to the ground station and real-time display of the processed data product. The multispectral imagery was collected with a low-cost, low-profile MSI sensor, MANTIS-3T, from PAR Government Systems. The data product was created from output of a novel spectral algorithm combination that increases the probability of detection and decreases the false alarm rates for specific objects of interest. The display product was a compressed true color image in which the detected objects were delineated with red pixels. A description of the end-to-end solution, issues encountered as well as their resolution, and results will be discussed. †
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