Paper
16 June 1997 Focal plane array nonlinearity and nonuniformity impacts to target detection with thermal infrared imaging spectrometers
Michael T. Eismann, Craig R. Schwartz
Author Affiliations +
Abstract
Recent studies have demonstrated the potential for spectrally discriminating low contrast ground-based military targets in the thermal infrared for day/night reconnaissance, surveillance, and targeting applications. Although the underlying spectral features have been found to be very subtle in most cases, good detection performance is achievable due to the generally high band-to-band spectral correlation of terrestrial backgrounds. Recently, attempts have been made to develop imaging spectrometers of sufficient quality to preserve this high background spectral correlation and, in the process, provide robust target detection capabilities. One key issue which must be addressed in the sensor design is the impact of focal plane nonlinearity and nonuniformity on spectral correlation. In this paper, we present the details of a Monte-Carlo model which was developed to quantify this impact as a function of focal plane array characteristics for three sensing modalities: a dispersive spectrometer, a temporal Fourier transform spectrometer, and a spatial Fourier transform spectrometer. The results illustrate distinct differences in how these focal plane error sources propagate into the spectral domain and perturb the measured spectral statistics.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael T. Eismann and Craig R. Schwartz "Focal plane array nonlinearity and nonuniformity impacts to target detection with thermal infrared imaging spectrometers", Proc. SPIE 3063, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VIII, (16 June 1997); https://doi.org/10.1117/12.276065
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Sensors

Fourier transforms

Staring arrays

Spectrometers

Calibration

Target detection

Infrared imaging

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