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Proceedings Paper

Sensor point spread function effects on the statistics of multispectral target signatures
Author(s): William F. Pont Jr.; Craig R. Schwartz; Eric P. Crist; Arthur C. Kenton
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Paper Abstract

A statistical parametric multispectral sensor performance model was developed by ERIM to support mine field detection studies, multispectral sensor design/performance trade-off studies, and target detection algorithm development. A key element in this performance model is the influence of the background on the target's multispectral statistics due to the size and shape of the target under the sensor's point spread function and pixel sampling function. The multispectral statistics of interest include the first-order (mean) and second-order moments (covariance) of the target's radiance signature. This paper presents a formulation which not only considers the effects of a multispectral sensor with a single point spread function, but also considers the joint effects of multiple, potentially misregistered, point spread functions on the target's covariance statistics. The model and an example of sensor point spread function and pixel sampling function effects on the target's spectral statistics are presented.

Paper Details

Date Published: 20 June 1995
PDF: 16 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211296
Show Author Affiliations
William F. Pont Jr., Environmental Research Institute of Michigan (United States)
Craig R. Schwartz, Environmental Research Institute of Michigan (United States)
Eric P. Crist, Environmental Research Institute of Michigan (United States)
Arthur C. Kenton, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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