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Proceedings Paper

pyBSM: A Python package for modeling imaging systems
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Paper Abstract

There are components that are common to all electro-optical and infrared imaging system performance models. The purpose of the Python Based Sensor Model (pyBSM) is to provide open source access to these functions for other researchers to build upon. Specifically, pyBSM implements much of the capability found in the ERIM Image Based Sensor Model (IBSM) V2.0 along with some improvements. The paper also includes two use-case examples. First, performance of an airborne imaging system is modeled using the General Image Quality Equation (GIQE). The results are then decomposed into factors affecting noise and resolution. Second, pyBSM is paired with openCV to evaluate performance of an algorithm used to detect objects in an image.

Paper Details

Date Published: 1 May 2017
PDF: 12 pages
Proc. SPIE 10204, Long-Range Imaging II, 1020405 (1 May 2017); doi: 10.1117/12.2262561
Show Author Affiliations
Daniel A. LeMaster, Air Force Research Lab. (United States)
Michael T. Eismann, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 10204:
Long-Range Imaging II
Eric J. Kelmelis, Editor(s)

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