Model Analysis Geometry Imagery Correlation Tool Kit (MAGIC-TK) for Model Development and Image Analysis

T. Taczak, M. Rundquist, Colin P. Cahill
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Abstract

The application of IR signature prediction codes in DoD has been predominantly in two areas: 1.) the development of total signature requirements under a broad set of environmental and operational conditions and 2.) the evaluation of signatures of vessels and signature treatments to ensure the specifications are met. As computing power and IR scene generation techniques have advanced, simulation capabilities have evolved to scene injection into real hardware systems. To capture the real world effects required to accurately analyze search and track algorithms, the fidelity of the complete IR scene has required improvement. New validation methodologies are required to evaluate the accuracy of advanced IR scene generation models. This paper will review some of the approaches incorporated into a new model validation tool that will be able to verify model inputs and quantitatively evaluate differences between measured and predicted imagery.
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模型分析几何图像相关工具包(MAGIC-TK)的模型开发和图像分析
红外特征预测代码在国防部的应用主要集中在两个领域:1)在广泛的环境和操作条件下制定总体特征要求;2)评估船舶特征和特征处理,以确保满足规范。随着计算能力和红外场景生成技术的进步,模拟能力已经发展到将场景注入到真实硬件系统中。为了捕捉真实世界的效果,需要准确地分析搜索和跟踪算法,完整的红外场景的保真度需要改进。需要新的验证方法来评估先进的红外场景生成模型的准确性。本文将回顾一些纳入新模型验证工具的方法,该工具将能够验证模型输入并定量评估测量图像和预测图像之间的差异。
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