Sensor point spread function effects on the statistics of multispectral target signatures

William F. Pont Jr.; Craig R. Schwartz; Eric P. Crist; Arthur C. Kenton

doi:10.1117/12.211296

20 June 1995 Sensor point spread function effects on the statistics of multispectral target signatures

William F. Pont Jr., Craig R. Schwartz, Eric P. Crist, Arthur C. Kenton

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211296
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

William F. Pont Jr., Craig R. Schwartz, Eric P. Crist, and Arthur C. Kenton "Sensor point spread function effects on the statistics of multispectral target signatures", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211296

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