Comparison of the components and the overall fidelity of infrared synthetic image generation models with truth data and imagery is a crucial part of determining model validity and identifying areas in which improvements can be made. The Rochester Institute of Technology's Digital Imaging and Remote Sensing Image Generation Model, DIRSIG, was validated in the midwave infrared (MWIR) and longwave infrared (LWIR) regions using measured meteorological, material, and radiometric data. Error propagation techniques clearly defmed areas where improvements to the model could be made (e.g. inclusion of clouds). An overall comparison of truth and synthetic images yields RMS errors of as low as 1.8°C for actual temperature, and 5°C (LWIR) and 6°C (MWIR) for apparent temperatures. Analysis of rank order correlation statistic shows a very high correlation between brightness rank for object in the truth and DIRSIG images for most times of day.
Date of creation, presentation, or exhibit
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
John E. Mason, John R. Schott, Carl Salvaggio, Joseph D. Sirianni, "Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing (DIRS) lab's image generation (DIRSIG) model", Proc. SPIE 2269, Infrared Technology XX, (17 October 1994); doi: 10.1117/12.188682; https://doi.org/10.1117/12.188682
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