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Validating pyBSM: a Python package for modeling imaging systems
Author(s): Daniel A. LeMaster; Philip J. Plummer; Matthew D. Howard; Michael A. Rucci
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Paper Abstract

The Python Based Sensor Model (pyBSM) provides open source functions for modeling electro-optical and infrared imaging systems. In this paper, we validate pyBSM predictions against laboratory measurements. Compared quantities include modulation transfer function, photoelectron count, and signal-to-noise ratio. Experiments are explained and code is provided with the details required to recreate this study for additional camera and lens combinations.

Paper Details

Date Published: 11 May 2018
PDF: 14 pages
Proc. SPIE 10650, Long-Range Imaging III, 106500K (11 May 2018); doi: 10.1117/12.2305228
Show Author Affiliations
Daniel A. LeMaster, Air Force Research Lab. (United States)
Philip J. Plummer, Air Force Research Lab. (United States)
Matthew D. Howard, Air Force Research Lab. (United States)
Michael A. Rucci, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10650:
Long-Range Imaging III
Eric J. Kelmelis, Editor(s)

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