Paper
10 June 1996 FPA sensor performance study using computer simulation
Yossi Bushlin, Gideon Baum, Michael Y. Engel
Author Affiliations +
Abstract
The development process of new FPA imaging systems should be accompanied by an operational research study. The tool for such a study should be a model that predicts the performance of the overall system (detector, optics, signal processing, human observer), together with the target signature characteristics and the background properties. This model should yield a figure of merit that will be used for the performance study during the design and development process of the system. The influence of various parameters that will be used in the design process of the system can be studied using this tool. This work presents an approach where an image based sensor model was used to study the ability to detect and recognize different targets at various scenarios. The sensor model was used to simulate images of bar patterns for the evaluation of the modeled sensor MRTD. The results were compared to FLIR 92 predictions and the real sensor MRTD measurements. The model was then used to simulate targets embedded at various types of backgrounds. The images were presented to human observers that determined whether they detect or recognize the targets. This paper will bring a short description of the FPA sensor model and will present the methodology of using the simulation for sensor performance study. An analysis of some of the obtained results will be included as well.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yossi Bushlin, Gideon Baum, and Michael Y. Engel "FPA sensor performance study using computer simulation", Proc. SPIE 2743, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing VII, (10 June 1996); https://doi.org/10.1117/12.241946
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KEYWORDS
Sensors

Minimum resolvable temperature difference

Optical simulations

Image sensors

Staring arrays

Target recognition

Target detection

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