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Infrared modeling and imaging simulation of midcourse ballistic targets based on strap-down platform

机译：基于捷联平台的中段弹道目标红外建模与成像仿真

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摘要

An infrared (IR) imaging simulation framework based on the strap-down platform is proposed for midcourse ballistic targets. It overcomes the shortcoming of the existing algorithms, which cannot simulate IR imaging from the entire midcourse process. The proposed framework includes three steps, target characteristic modeling, motion modeling, and imaging modeling. In imaging modeling, the staring focal plane is taken into account due to its wide employment. In order to obtain IR images of high fidelity, especially that the fluctuation of the target signal-to-noise ratio (SNR) is reasonably similar to the actual one, this paper proposes an improved IR imaging simulation method. The proposed method considers two critical factors of the pixel plane, occupy-empty ratio and defect elements, which affect the imaging of targets markedly but are neglected in previous work. Finally, the IR image sequence of high fidelity is obtained. And the correlative parameters of simulation can be set according to the given scene. Thus the generated images can satisfy the needs of algorithms validation for tracking and recognition.
机译：提出了一种基于捷联平台的中程弹道目标红外成像仿真框架。它克服了现有算法的缺点，该算法无法在整个中途过程中模拟红外成像。所提出的框架包括三个步骤，目标特征建模，运动建模和成像建模。在成像建模中，凝视焦平面由于使用范围广而被考虑在内。为了获得高保真度的红外图像，特别是目标信噪比（SNR）的波动与实际合理相似，本文提出了一种改进的红外成像仿真方法。所提出的方法考虑了像素平面的两个关键因素，即空载比和缺陷元素，它们显着影响目标的成像，但在先前的工作中却被忽略。最终，获得了高保真度的红外图像序列。并且可以根据给定场景设置仿真的相关参数。因此，生成的图像可以满足算法验证的需求，以进行跟踪和识别。

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