Quality assessment for hyperspectral imaging

Yuheng Chen; Xinhua Chen; Jiankang Zhou; Weimin Shen

doi:10.1117/12.2070664

18 November 2014 Quality assessment for hyperspectral imaging

Yuheng Chen, Xinhua Chen, Jiankang Zhou, Weimin Shen

Proceedings Volume 9298, International Symposium on Optoelectronic Technology and Application 2014: Imaging Spectroscopy; and Telescopes and Large Optics; 929803 (2014) https://doi.org/10.1117/12.2070664
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Image quality assessment is an essential value judgement approach for many applications. Multi & hyper spectral imaging has more judging essentials than grey scale or RGB imaging and its image quality assessment job has to cover up all-around evaluating factors. This paper presents an integrating spectral imaging quality assessment project, in which spectral-based, radiometric-based and spatial-based statistical behavior for three hyperspectral imagers are jointly executed. Spectral response function is worked out based on discrete illumination images and its spectral performance is deduced according to its FWHM and spectral excursion value. Radiometric response ability of different spectral channel under both on-ground and airborne imaging condition is judged by SNR computing based upon local RMS extraction and statistics method. Spatial response evaluation of the spectral imaging instrument is worked out by MTF computing with slanted edge analysis method. Reported pioneering systemic work in hyperspectral imaging quality assessment is carried out with the help of several domestic dominating work units, which not only has significance in the development of on-ground and in-orbit instrument performance evaluation technique but also takes on reference value for index demonstration and design optimization for instrument development.

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Yuheng Chen, Xinhua Chen, Jiankang Zhou, and Weimin Shen "Quality assessment for hyperspectral imaging", Proc. SPIE 9298, International Symposium on Optoelectronic Technology and Application 2014: Imaging Spectroscopy; and Telescopes and Large Optics, 929803 (18 November 2014); https://doi.org/10.1117/12.2070664

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KEYWORDS

Imaging systems

Signal to noise ratio

Hyperspectral imaging

Image quality

Modulation transfer functions

Imaging spectroscopy

Image analysis

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