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Proceedings Paper

A color calibration method for spectral image based on radiative transfer mechanism
Author(s): Chuanrong Li; Lingling Ma; Xinfang Yuan; Ning Wang; Lingli Tang; Shi Qiu; Jianjian Li
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Paper Abstract

In generation of the true color image with the hyper-spectral data, there are still some key issues. On one hand, it is of great difficulty in obtaining a true-color image, which is satisfying the human visual habit, with narrow band-width hyper-spectral data. On the other hand, the degradation of the performance of the hyper-spectral sensor will also cause the color distortion. In this paper, a color calibration method based on physical model for hyper-spectral data is proposed to deal with those questions. Employing the color matching function, the method reconstructs the true color image with the spectral information in the red, green and blue band extracted from the hyper-spectral data. Combining the in situ measurements of the reflectance spectrum of artificial targets, the true colors of the targets were first deduced with the radiative transfer model. Therefore, the color calibration model was established. The novel method was validated with the aerial hyper-spectral data to be suit for the calibration of the true color images.

Paper Details

Date Published: 13 June 2014
PDF: 7 pages
Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90881E (13 June 2014); doi: 10.1117/12.2050297
Show Author Affiliations
Chuanrong Li, Academy of Opto-Electronics (China)
Lingling Ma, Academy of Opto-Electronics (China)
Xinfang Yuan, Academy of Opto-Electronics (China)
Ning Wang, Academy of Opto-Electronics (China)
Lingli Tang, Academy of Opto-Electronics (China)
Shi Qiu, NOAA-NESDIS Ctr. for Satellite Application and Research (United States)
Jianjian Li, Academy of Opto-Electronics (China)
Univ. of Chinese Academy of Sciences (China)

Published in SPIE Proceedings Vol. 9088:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)

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