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作 者:郭荣幸[1,2] 孙俊灵[1,3] 赵成[1] 马鹏阁[1]
机构地区:[1]郑州航空工业管理学院,河南郑州450000 [2]航空经济发展河南省协同创新中心,河南郑州450000 [3]北京工业大学电子信息与控制工程学院,北京100124
出 处:《山东农业大学学报(自然科学版)》2016年第2期278-282,共5页Journal of Shandong Agricultural University:Natural Science Edition
基 金:航空科学基金重点项目:非高斯杂波背景下基于TRD的低可观测性激光目标检测与跟踪技术研究(2014ZC13004);郑州航院青年基金项目:基于多种探测的汽车ADAS关键技术研究(2016133001)
摘 要:在现代战争中,对优秀狙击手的目标定位能力要求极高,而目前通用的目标识别算法对"猫眼"目标的识别精度不高,算法复杂且运行速度慢,无法满足对整个区域的实时监控要求。为此,本文在激光主动探测模型基础上,对图像的阈值处理、形态学处理、边界追踪和目标识别算法进行研究,建立了基于DSP芯片的激光主动探测系统并进行了室内外目标识别测试。结果表明:在室内,对简单目标算法的识别精度较高,且DSP芯片的图像处理速度较快并能够实时显示;在室外,当目标对光的反射强度高出其四周背景亮度几个数量级时,能够准确地将目标从背景中识别出来,系统的最大探测距离达1200 m,最小分辨率为200 m。To improve the ability for a sniper to locate enemies in modern war, instead of using the present target recognition technology erroneous complex and slow so as to learl to come to nothing, this paper performed the process of image threshold, morphology, boundary tracking and target identification algorithm based on the model of laser active detection to establish the laser active detection system with DSP chip and test it indoor and outdoor. The results showed that the target recognition accuracy was higher for the simple objects and image process was taster and actual in doors; the objects were distinguished from a complex background when the target light reflection intensity was higher than its background brightness around several orders of magnitude, the max-detection range went to 1200 meters and the mini distinguish ability went to 200 meters out doors.
分 类 号:TN202[电子电信—物理电子学]
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