Presentation + Paper
1 May 2017 pyBSM: A Python package for modeling imaging systems
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel A. LeMaster and Michael T. Eismann "pyBSM: A Python package for modeling imaging systems", Proc. SPIE 10204, Long-Range Imaging II, 1020405 (1 May 2017); https://doi.org/10.1117/12.2262561
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Modulation transfer functions

Electro optical modeling

Optical transfer functions

Signal to noise ratio

Systems modeling

Performance modeling

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