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.
Daniel A. LeMaster and Michael T. Eismann, "pyBSM: A Python package for modeling imaging systems," Proc. SPIE 10204, Long-Range Imaging II, 1020405 (Presented at SPIE Defense + Security: April 11, 2017; Published: 1 May 2017); https://doi.org/10.1117/12.2262561.
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