Comparison of ID performance using real and synthetic imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4719, Issue , 2002, Pages 34-41

  Jacobs, Eddie ^a   Edwards, Tim ^a   Miller, Brian ^a   Hodgkin, Van ^b  

^a US Army NVESD   (United States)

^b SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

Author keywords

Human perception; Infrared; Sensor; Simulation; Validation

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CAMERAS; COMPUTER SIMULATION; INFRARED DETECTORS; MILITARY VEHICLES; OPTICAL SENSORS; SCANNING; SENSOR DATA FUSION;

HUMAN PERCEPTION; REAL IMAGERY; SCANNING SENSOR SYSTEMS; SYNTHETIC IMAGERY; TARGET IDENTIFICATION;

INFRARED IMAGING;

EID: 0036911560     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.477465     Document Type: Conference Paper

References (5)

1. Maximo Lorenzo, Eddie L. Jacobs, Joseph R. Moulton Jr.,Jesse Liu, "Optimized mapping of radiometric quantities into OpenGL," Proc. SPIE Vol. 3694, p. 173-182 (1999).
2. R. Vollmerhausen, R. Driggers, and B. O'Kane, "Influence of sampling on target recognition and identification," Opt. Eng., 38(5), 763-772, 1999.
3. "FLIR92 Thermal Imaging Systems Performance Model," US Army Night Vision and Electronic Sensors Directorate, Ft. Belvoir VA (1993).
4. www.stricom.army.mil/PRODUCTS/ROCV/ accessed 19 Feb 2002.
5. Volmerhaussen, R., Driggers, R. NVTherm: Next Generation Night Vision Thermal Model, Proc. IRIS Passive Sensors, Vol. 1, 1999; 121-134.