基于跟踪特征的目标模型逼真度评估方法

为了实现红外仿真目标模型逼真度评估的目的,采用了基于跟踪算法提取目标模型关键特征的方法,通过分析跟踪过程的重点,确定以目标为中心的局部视场区域图像来评估目标模型。在现有红外仿真目标模型评估现状的基础上,采用典型的跟踪算法来设计完成试验,并进行了理论分析和试验验证,取得了较好的试验结果。结果表明,基于关键特征提取的方法中相似目标模型是不相似目标模型的2倍以上,有些高达10倍差距,可以基于目标图像关键特征来验证目标模型的有效性。此研究算法为后续红外仿真目标模型逼真度的评估具有实际指导和扩展的意义。

Simulation model fidelity evaluation method based on key features

The method of extracting features of model, which was the core of tracking, was employed to evaluate the fidelity of infrared simulation model. By analyzing the kernel of tracking process, the image of a partial field around the center of target was chosen to evaluate the target model. Based on the existing evaluating methods of the infrared simulation model, a typical object-tracking algorithm was adopted to design the experiment. Following theoretical analysis, the corresponding experiment was then carried out. Result shows that the similar target model is more than 2 times as much as the dissimilar model based on the key features extracting method, and the difference between them can even get to 10 times. Therefore, the key feature extraction algorithm is a practical and feasible method to verify the validity of the target model. This evaluation method can provide theoretical guidance for the evaluation of model fidelity in the field of infrared target detection.