Paper
11 April 2008 Target identification performance of superresolution versus dither
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Abstract
This paper presents the results of a performance comparison between superresolution reconstruction and dither, also known as microscan. Dither and superresolution are methods to improve the performance of spatially undersampled systems by reducing aliasing and increasing sampling. The performance measured is the probability of identification versus range for a set of tracked, armored military vehicles. The performance improvements of dither and superresolution are compared to the performance of the base system with no additional processing. Field data was collected for all types of processing using the same basic sensor. This allows the performance to be compared without comparing different sensors. The performance of the various methods is compared experimentally using human perception tests. The perception tests results are compared to modeled predictions of the range performance. The measured and modeled performance of all of the methods agree well.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan D. Fanning and Joseph P. Reynolds "Target identification performance of superresolution versus dither", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410N (11 April 2008); https://doi.org/10.1117/12.782274
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Super resolution

Sensors

Modulation transfer functions

NVThermIP

Motion estimation

Reconstruction algorithms

Image processing

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