Targeting and intelligence electro-optical recognition modeling: A juxtaposition of the probabilities of discrimination and the general image quality equation

Optical Engineering

Volumn 37, Issue 3, 1998, Pages 789-797

  Driggers, Ronald G ^a,b,e,f,g   Cox, Paul G ^b,h,i,j   Leachtenauer, John ^c,k,l,m   Vollmerhausen, Richard ^{a,n,o,p,q,r,s}   Scribner, Dean A ^d,t  

^a NIGHT VISION AND ELECTRONIC SENSORS DIRECTORATE   (United States)

^b SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

^c ERIM   (United States)

^d NAVAL RESEARCH LABORATORY   (United States)

^e UNIVERSITY OF MEMPHIS   (United States)

^f Univ Ctrl Florida's Ctr Res E   (United States)

^g US Army's Night Vis Electron S   (United States)

^h UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

ⁱ CATHOLIC UNIVERSITY OF AMERICA   (United States)

^j US Army's Night Vis Electron S   (United States)

^k SYRACUSE UNIVERSITY   (United States)

^l National Imagery and Mapping Agency   (United States)

^m Human Factors Society   (United States)

ⁿ ARIZONA STATE UNIVERSITY   (United States)

^o Saturn Apollo Program

^p Saturn/Apollo Program ^*

^q Army's Night Vision Laboratory

^r Airbone Systems Branch

^s System Analysis and Modeling Branch

^t GEORGETOWN UNIVERSITY   (United States)

more..

Author keywords

Electro optical; General image quality equation; Infrared; Minimum resolvable temperature; National Imagery lnterpretability Scale; Performance; Target acquisition

Indexed keywords

EID: 0012705028     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.601911     Document Type: Article

References (15)

1. J. Johnson, "Analysis of image forming systems," in Proc. Image Intensifier Symp., pp. 249-273, Warfare Vision Branch, Electrical Engineering Department, U.S. Army Engineering Branch and Development Laboratories, Ft. Belvoir, VA (Oct. 1958).
2. F. Rossell, "A review of the current periodic sensor models," in Proc. of IRIS Imaging, p. 71 (1981).
3. J. Lloyd, Thermal Imaging Systems, p. 183, Plenum Press, New York (1975).
4. R. Sendall and F. Rosell, "EO sensor performance analysis and synthesis (TV/IR comparison study)," Final Report AFAL-TR-72-374, AFAL, Wright Patterson Air Force Base OH (Apr. 1973).
5. J. Ratches, "NVL static performance model for thermal viewing systems," USA Electronics Command Repon ECOM 7043, AD-A011212 (Apr. 1975).
6. FLIR92 Thermal Imaging Systems Performance Model, U.S. Army Night Vision and Electronic Sensors Directorate, Ft. Belvoir, VA (Jan. 1993).
7. J. D'Agostino, "Three dimensional analysis framework and measurement methodology for imaging system noise," in Proc. IRIS Passive Sensors Symp. (Mar. 1991).
8. C. Webb, P. Bell, and G. Mayott, "Laboratory procedure for the characterization of 3-D noise in thermal imaging systems," in Proc. IRIS Passive Sensors Symp. (Mar. 1991).
9. R. Vollmerhausen, "Incorporating display limitations into night vision performance models," in Proc. 1995 IRIS Passive Sensors vol. 2, pp. 11-31 (1995).
10. R. Vollmerhausen, "Minimum resolvable contrast model for image intensified charge coupled device cameras," NV-96-Report 09, U.S. Army CECOM Night Vision and Electronic Sensors Directorate, (1996).
11. D. Shumaker, J. Wood, and C. Thacker, FLIR Performance Handbook, DCS Corporation, Alexandria, VA (1988).
12. J. Leachtenauer, W. Malila, J. Irvine, L. Colbum, and N. Salvaggio, "General image quality equation (GIQE)," Appl. Opt. (in press).
13. J. C. Leachtenauer, "National Imagery Interpretability Rating Scales: overview and product description," in ASPRS/ASCM Annu. Convention and Exhibition Technical Papers, Volume 1, Remote Sensing and Photogrammetry, pp. 262-272, American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping, Baltimore, MD (1996).
14. National Imagery and Mapping Agency, General Image Quality Equation-Users Guide Version 4.0, Data and Systems Analysis Division, Springfield, VA (1996).
15. J. M. Irvine and J. C. Leachtenauer, "A methodology for developing image interpretability ratings scales," in ASPRS/ASCM Ann. Convention and Exhibition Technical Papers, Volume I, Remote Sensing and Photogrammetry, pp. 273-281, American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping, Baltimore, MD (1996).