<title>Sensor point spread function effects on the statistics of multispectral target signatures</title>

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.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.