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17 June 1996 Thermal multispectral detection of military vehicles in vegetated and desert backgrounds
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Abstract
Recent data collections using an infrared hyperspectral measurement system have provided a significant measurement database of military vehicles in vegetated and desert backgrounds. This paper summarizes the results of a study performed to assess the detection performance potential of multispectral sensors using this database. Specific issues addressed include approaches to optimal band selection; robustness of band combinations with target, background, and environment diversity; and sensor noise requirements. All of these issues are vital to assessing the feasibility and utility of infrared multispectral sensors in operational scenarios.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Craig R. Schwartz, Michael T. Eismann, Jack N. Cederquist, and Ray O. Johnson "Thermal multispectral detection of military vehicles in vegetated and desert backgrounds", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); https://doi.org/10.1117/12.243007
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