Paper
20 June 1995 Application of multispectral imaging system analysis to surface target detection
William B. Smith, Dennis A. Thompson, James Olson, John R. Schott
Author Affiliations +
Abstract
Multispectral imaging system analyses have been conducted to develop and evaluate system concepts for airborne cameras capable of detecting surface targets of interest in a shoreline environment. We have applied classifier-based multispectral models to analyze individual image chain components from ground through image acquisition to output image. Using a real or synthetically generated multispectral scene as input, the output metrics describe target and background class separations for a particular imaging scenario. The models provide spectral analyses over wavelengths from 0.3 to 15 micrometers . Illumination and atmospheric transmission are determined using LOWTRAN7. Analysis in the thermal regions includes a radiometrically accurate simulator to produce 3D scenes to which illumination conditions are added. This paper presents a description of these models and analytical results. Optimum detection time-of- day and band combinations are presented. Solar evelation, atmospheric transmission, and target albedo, as well as analytic characterization of the detection system are included. Additional effects such as target characteristics, backgrounds, and depth below the surface are also included.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William B. Smith, Dennis A. Thompson, James Olson, and John R. Schott "Application of multispectral imaging system analysis to surface target detection", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211327
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KEYWORDS
Sensors

Target detection

Imaging systems

3D modeling

Fourier transforms

Atmospheric modeling

Mid-IR

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