Image Correction and In Situ Spectral Calibration for Low-Cost, Smartphone Hyperspectral Imaging
Image Correction and In Situ Spectral Calibration for Low-Cost, Smartphone Hyperspectral Imaging
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DOI:
10.3390/rs14051152
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发表时间:
2022-03-01
期刊:
影响因子:
5
通讯作者:
Willmott, Jon R.
中科院分区:
文献类型:
--
作者:
Davies, Matthew;Stuart, Mary B.;Willmott, Jon R.
Developments in the portability of low-cost hyperspectral imaging instruments translate to significant benefits to agricultural industries and environmental monitoring applications. These advances can be further explicated by removing the need for complex post-processing and calibration. We propose a method for substantially increasing the utility of portable hyperspectral imaging. Vertical and horizontal spatial distortions introduced into images by 'operator shake' are corrected by an in-scene reference card with two spatial references. In situ light-source-independent spectral calibration is performed. This is achieved by a comparison of the ground-truth spectral reflectance of an in-scene red-green-blue target to the uncalibrated output of the hyperspectral data. Finally, bias introduced into the hyperspectral images due to the non-flat spectral output of the illumination is removed. This allows for low-skilled operation of a truly handheld, low-cost hyperspectral imager for agriculture, environmental monitoring, or other visible hyperspectral imaging applications.