Paper
1 September 1990 Smart munition thermal sensor model for evaluating effects of terrain and environment
Author Affiliations +
Abstract
Current engineering-level smart munition sensor models emphasize sensor/target interactions with detection and aim-point information being the principal outputs. Background is not treated with the same fidelity. False alarm rate is based on captive flight statistics and is not actually simulated. The lack of a means to evaluate effects of background in an end-to-end simulation mode motivated the development of the WES Smart Munition Thermal Sensor Model. The model consists of a generic set of algorithms used to simulate platform dynamics, scanning geometry, and infrared sensor optics and electronics. Thermal target models of a vehicle developed by Georgia Tech Research Institute are instantiated into a background scene consisting of calibrated thermal imagery. Parameters are set to reflect the flight dynamics, scanning, optics and electronics of a specified munition, and the output voltage is processed though an appended target acquisition algorithm. A hypothetical smart munition with a thermal sensor (simple flying spot detector) is configured and flown over high-resolution thermal imagery obtained from selected locations to demonstrate effects of varied terrain and environmental conditions.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Randy K. Scoggins, Harold D. Mixon, and Bruce M. Sabol "Smart munition thermal sensor model for evaluating effects of terrain and environment", Proc. SPIE 1311, Characterization, Propagation, and Simulation of Infrared Scenes, (1 September 1990); https://doi.org/10.1117/12.21831
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Detection and tracking algorithms

Thermal modeling

Infrared sensors

Computer simulations

Target acquisition

Data modeling

RELATED CONTENT

CBAM-YOLOv5 for infrared image object detection
Proceedings of SPIE (November 07 2022)
Evaluation of the IR signature of dynamic air targets
Proceedings of SPIE (December 01 1991)
Synthetic IR Scene Generation
Proceedings of SPIE (May 03 1988)
Swedish IR and E/O system research
Proceedings of SPIE (October 05 2006)

Back to Top