Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing (DIRS) lab's image generation (DIRSIG) model

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dc.contributor.author Mason, John en_US
dc.contributor.author Schott, John en_US
dc.contributor.author Salvaggio, Carl en_US
dc.contributor.author Sirianni, Joseph en_US
dc.date.accessioned 2007-06-22T15:05:34Z en_US
dc.date.available 2007-06-22T15:05:34Z en_US
dc.date.issued 1994-10 en_US
dc.identifier.citation Proceedings of SPIE Infrared Technology XX 2269 (1994) 622-633 en_US
dc.identifier.isbn O-8194-1593-6 en_US
dc.identifier.uri http://hdl.handle.net/1850/4048 en_US
dc.description "Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing (DIRS) lab's image generation (DIRSIG) model," Proceedings of the SPIE, Infrared Technology XX, Vol. 2269. The International Society of Optical Engineers. Held in San Diego, California: July 1994. This paper is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. en_US
dc.description.abstract 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. en_US
dc.description.sponsorship The authors would like to thank Ms. Carolyn Kitchen for preparation of this paper and Mr. Frank Tantalo for his work on data reduction. We also gratefully acknowledge the support of the Central Intelligence Agency for their support of this effort. en_US
dc.language.iso en_US en_US
dc.publisher The International Society for Optical Engineering (SPIE) en_US
dc.relation.ispartofseries vol. 2269 en_US
dc.title Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing (DIRS) lab's image generation (DIRSIG) model en_US

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