Paper
11 May 2018 Validating pyBSM: a Python package for modeling imaging systems
Daniel A. LeMaster, Philip J. Plummer, Matthew D. Howard, Michael A. Rucci
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel A. LeMaster, Philip J. Plummer, Matthew D. Howard, and Michael A. Rucci "Validating pyBSM: a Python package for modeling imaging systems", Proc. SPIE 10650, Long-Range Imaging III, 106500K (11 May 2018); https://doi.org/10.1117/12.2305228
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KEYWORDS
Modulation transfer functions

Cameras

Sensors

Signal to noise ratio

Systems modeling

Electro optical modeling

Wavefronts

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