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5 May 2015 Method for quantifying image quality in push-broom hyperspectral cameras
Gudrun Høye, Trond Løke, Andrei Fridman
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Optical Engineering, Vol. 54, Issue 5, 053102 (May 2015). https://doi.org/10.1117/1.OE.54.5.053102
Abstract
We propose a method for measuring and quantifying image quality in push-broom hyperspectral cameras in terms of spatial misregistration caused by keystone and variations in the point spread function (PSF) across spectral channels, and image sharpness. The method is suitable for both traditional push-broom hyperspectral cameras where keystone is corrected in hardware and cameras where keystone is corrected in postprocessing, such as resampling and mixel cameras. We show how the measured camera performance can be presented graphically in an intuitive and easy to understand way, comprising both image sharpness and spatial misregistration in the same figure. For the misregistration, we suggest that both the mean standard deviation and the maximum value for each pixel are shown. We also suggest how the method could be expanded to quantify spectral misregistration caused by the smile effect and corresponding PSF variations. Finally, we have measured the performance of two HySpex SWIR 384 cameras using the suggested method. The method appears well suited for assessing camera quality and for comparing the performance of different hyperspectral imagers and could become the future standard for how to measure and quantify the image quality of push-broom hyperspectral cameras.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Gudrun Høye, Trond Løke, and Andrei Fridman "Method for quantifying image quality in push-broom hyperspectral cameras," Optical Engineering 54(5), 053102 (5 May 2015). https://doi.org/10.1117/1.OE.54.5.053102
Published: 5 May 2015
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Cited by 17 scholarly publications.
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KEYWORDS
Cameras
Point spread functions
Image quality
Short wave infrared radiation
Optical engineering
Prototyping
Imaging systems
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