Paper
10 September 2001 Assessment of 3D noise methodology for thermal sensor simulation
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Abstract
An approach to determining the fidelity of synthetic noise based on the NVESD 3-D noise methodology is introduced. After reviewing the theory of 3-D noise analysis, three methods for the generation of synthetic noise are outlined: power spectrum matching, physical noise modeling, and 3-D noise parameter inversion. Real and synthetic noise samples from a staring thermal sensor were analyzed using a 3-D noise analysis. A series of simulated minimum resolvable temperature difference (MRTD) experiments using real and synthetic noise were also conducted. Results from the analysis and the MRTD indicate that modifications to the 3-D noise parameter inversion method could provide a more accurate match to real MRTDs. In addition, the MRTD method used in this research could be used to quantify the relative impact of each component of the 3-D noise model.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eddie L. Jacobs, Jae Cha, Keith A. Krapels, and Van A. Hodgkin "Assessment of 3D noise methodology for thermal sensor simulation", Proc. SPIE 4372, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII, (10 September 2001); https://doi.org/10.1117/12.439150
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Cited by 1 scholarly publication.
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KEYWORDS
Minimum resolvable temperature difference

Sensors

3D modeling

Optical simulations

3D image processing

Infrared sensors

Staring arrays

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