基于目标自动识别技术的热红外伪装效果评价

为了对大量不同伪装目标的伪装效果进行有效的评价,需要对采集的图像进行自动目标识别处理.根据探测器和侦察平台参数,自动识别算法给出疑似目标区域及其可信度.在此基础上,自动检测识别伪装目标变得更加合理有效.疑似目标区域的确定也可以作为评价目标伪装效果的另一个标准.文中主要介绍自动识别算法、典型图像疑似目标区域确定及其对伪装评价的影响等内容.

Automatic Target Recognition-Based IR Camouflage Effectiveness Evaluation

For the purpose of evaluating the effectiveness of the various camouflage methods,the Automatic Target Recognition（ATR for short） system technology is put forward.The paper presents some aspects of the reconnaissance detection algorithm,detection ranges for hypothesis target and the influence to the Camouflage Effectiveness Evaluation.The collected images can be identified and processed.According to the detector and reconnaissance system parameters,the ATR algorithm can report the detection range for each hypothesis target and its confidence.Based on this basis,the automatic detection and identification of camouflage targets become more reasonable and effective.Determination of the detection range could be considered as an additional criteria for camouflage evaluation.