Ground vehicle thermal signature modeling and validation for hardware-in-the-loop imaging infrared sensor testing

Jeffrey S. Sanders

doi:10.1117/12.241104

24 May 1996 Ground vehicle thermal signature modeling and validation for hardware-in-the-loop imaging infrared sensor testing

Jeffrey S. Sanders

Author Affiliations +

Proceedings Volume 2741, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing; (1996) https://doi.org/10.1117/12.241104
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Real-time HWIL IR modeling requires special techniques to achieve the frame rates necessary for missile stimulation. Current methods depend heavily upon texture mapping to allow lower facet count target geometry models to be used. This paper describes the techniques for creating the signature models necessary for IR texture map generation. The primary IR signature modeling technique used at MICOM over the last few years is known as empirical modeling or target painting. This manual method directly applies 2D calibrated thermal imagery to a target geometry model. This method has the advantage of easy validation as the model is simply a 3D representation of measured data. The main disadvantages of the method is the finite amount of IR signature data and the high cost of collecting additional data. To address these issues, new techniques for creating PRISM models have been developed. The new method uses polygonal surface models and does not require BRL-CAD solid geometry models. This is desirable as there is a much larger vehicle model database available in, or translatable to, polygonal format. The IR signature models are based directly on calibrated thermal imagery collected under a variety of operating states, locations, and meteorological conditions. Hence, there is a high degree of confidence in these models as compared to purely predictive models as they are based directly on measurements.

Citation Download Citation

Jeffrey S. Sanders "Ground vehicle thermal signature modeling and validation for hardware-in-the-loop imaging infrared sensor testing", Proc. SPIE 2741, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing, (24 May 1996); https://doi.org/10.1117/12.241104

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