pyBSM: A Python package for modeling imaging systems

Daniel A. LeMaster; Michael T. Eismann

doi:10.1117/12.2262561

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

Citation Download Citation

Daniel A. LeMaster, Daniel A. LeMaster, Michael T. Eismann, Michael T. Eismann, } "pyBSM: A Python package for modeling imaging systems", Proc. SPIE 10204, Long-Range Imaging II, 1020405 (1 May 2017); doi: 10.1117/12.2262561; https://doi.org/10.1117/12.2262561

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