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

John E. Mason; John R. Schott; Carl Salvaggio; Joseph D. Sirianni

doi:10.1117/12.188682

17 October 1994 Validation of contrast and phenomenology in the Digital Imaging and Remote Sensing (DIRS) lab's image generation (DIRSIG) model

John E. Mason, John R. Schott, Carl Salvaggio, Joseph D. Sirianni

Author Affiliations +

Proceedings Volume 2269, Infrared Technology XX; (1994) https://doi.org/10.1117/12.188682
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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 defined 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 degree(s)C for actual temperature, and 5 degree(s)C (LWIR) and 6 degree(s)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.

Citation Download Citation

John E. Mason, John R. Schott, Carl Salvaggio, and 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); https://doi.org/10.1117/12.188682

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available