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提出了一种多目标跟踪目标态势显示、目标自动告警的雷达告警态势图。通过可见光探测装置来被动地发现目标,获取目标的视频图像和方位信息,采用数字图像处理和模式识别的方法,来计算所跟踪目标的各种图像信息及运动信息,生成目标态势,以实现雷达的部分功能,并结合全景图成像技术,通过雷达告警态势图的方式在显示设备上实时显示、告警。采用数字图像处理技术及目标识别算法进行目标测距,取代光电跟踪系统中较为昂贵的激光测距仪。通过小型舰船实验证明,这种图像测距的方法同样可以取得较为理想的效果,尤其是针对中长距离的目标,系统可以实现较为准确、稳定的跟踪,同时,这种方法有效地降低了系统的成本。

A radar warning situation map(RWSM)is proposed in this article.This map can measure the distance,bearing,heading,velocity of the object and show these information on the monitor through the panorama and the radar map.The system obtained the video and the orientation of the ob-ject by the visible light detector.It calculated the image and the motion of the tracking target through the image processing algorithm and the pattern recognition method.The panorama technology was combined to form the RWSM.The laser range finder was replaced by the digital image processing and recognition technology to estimate the distance of the target very well.The ship experiment results showed that the RWSM can well present the posture of the targets,and the system can track the ob-jects accurately and steadily.The cost of the system has been deduced greatly by the method.

参考文献

[1] 王建立 .光电经纬仪电视跟踪、捕获快速运动目标技术的研究[D].长春:中国科学院长春光学精密机械与物理研究所,2002.
[2] 李立仁.浅谈海防监控中的雷达与光电互动和透雾功能[J].激光与红外,200636(12):1155-1156.
[3] 王斌;唐明南.光电/雷达复合导引头机动目标自适应跟踪技术[J].红外与激光工程,200736(09):205-208.
[4] 薛志斌.海军光电系统的最新技术进展[J].舰船电子对抗,200730(05):14-18.
[5] Massiomo A.New roles for submarines[J].Military Technology,2002(09):46-47.
[6] Sharon W.Millimeter-wave weapon shifts to over-water applications[J].Aviation Weekly,2006(14):54.
[7] David K B.Radar today[J].The J ournal of Electronic Defence,2005(03):87.
[8] 吴壮志;王冬华.海防视频监控系统中运动目标跟踪的设计与实现[J].计算机工程与科学,200830(03):57-61.
[9] 余宏生;金伟其.数字图像拼接方法研究进展[J].红外技术,200931(06):348-353.
[10] Marzotto R;Fusiello A;Murino V.High resolution video mossicing with global alignment[A].,2004:692-698.
[11] Dae-Woong K;Ki-Sang H.Real-time mosaic using sequential graph[J].J ournal of Electronic Imaging,200615(02):023005-023001.
[12] Lowe D G.Object recognition from local scale-invariant feature[A].,1999:1150-1157.
[13] Lowe D G.Distinctive Image features from scale-invariant keypoints[J].International J ournal of Computer Vi-sion,200460(02):91.
[14] 孟勃;韩广良.基于改进的尺度不变特征变换特征点匹配的电子稳像算法[J].计算机应用,201232(10):2817-2820.
[15] 孟勃;韩广良;裴炳南.基于自适应粒子滤波的目标跟踪算法[J].光子学报,200837(11):252-255.
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