Description
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
10-17-1994
Document Type
Conference Paper
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Recommended Citation
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
Campus
RIT – Main Campus
Comments
Copyright 1994 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.