New algorithm for multispectral calibration in remotely sensed color photography

Jooho Lee; John P. Basart

doi:10.1117/12.365845

18 October 1999 New algorithm for multispectral calibration in remotely sensed color photography

Jooho Lee, John P. Basart

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365845
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

Few studies have reported on multi-spectral color calibration using statistical information from low altitude images as the reference for colors in remote sensing image processing. For multi-spectral color calibration, a new statistical adjustment technique was applied based on the fact that low altitude images can offer relatively more accurate colors than high altitude images, and the information from the two comparable images has similar characteristics in a statistical sense. Therefore, by decomposing colors from both lower and higher altitude image data, and matching histograms for each corresponding color component, the colors of higher altitude images can be calibrated. With a heuristic measurement method, the resultant images had more than 80% similarity to the reference image, whereas, with the relative difference method, the resultant images were more than 90% closer to the reference image.

Citation Download Citation

Jooho Lee and John P. Basart "New algorithm for multispectral calibration in remotely sensed color photography", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365845

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