Paper
16 September 1992 Resolving the differences in oversampled and undersampled imaging sensors: updated target acquisition modeling strategies for staring and scanning FLIR systems
Philip R. Owen Jr., James A. Dawson
Author Affiliations +
Abstract
Imaging IR sensors which are used as target acquisition devices in weapon systems, i.e. FLIRs, have diversified in the 15 years following the development of the Ratches method for predicting static detection and recognition probabilities. Current FLIRs vary from devices which are completely analog in nature, such as the common module FLIR, to those which utilize spatial and temporal sampling to a significant degree, such as scanning or staring FPAs. Due to non-monotonic behavior in the Minimum Resolvable Temperature Difference (MRT) curves typical of most staring systems and uncertainties in the measurement of the MRT, direct use of the Ratches technique for comparing scanning and staring systems has become limited or impossible. Through the use of field test observations and data collection, in conjunction with laboratory measurements of MRT, a revisitation of the analysis procedure is offered which allows for direct and nonambiguous comparisons between scanning and staring FLIR systems. Specifically, cycle criteria appropriate for staring systems are presented along with validating data using multiple scanning and staring systems.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philip R. Owen Jr. and James A. Dawson "Resolving the differences in oversampled and undersampled imaging sensors: updated target acquisition modeling strategies for staring and scanning FLIR systems", Proc. SPIE 1689, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing III, (16 September 1992); https://doi.org/10.1117/12.137957
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Forward looking infrared

Sensors

Imaging systems

Systems modeling

Infrared imaging

Performance modeling

Radiometry

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