摘要
针对折反射全景侦察图像信息量非常大不方便人眼观察其中有用信息的特点,通过研究目前运动目标检测方法,提出一种差分分块消除运动目标检测算法。该算法的关键点包括:一是最佳分割阈值的确定方法;二是分块宽度的确定方法;三是确定哪些块可消除、哪些块可保留的判定方法。实验结果表明该算法能很好的检测出真正的运动目标,且能很好的抑制虚假目标。该算法效果明显,但仿真时间增加不多。
Aiming at the characteristics of large amount of information included by the catadioptric panoramic reconnaissance image and the useful information inside the image not conveniently observed by naked eyes, through researching the characteristics of the current moving targets detection methods, a differential block elimination moving target detection algorithm was presented. The key techniques of this algo- rithm included： first, determine the best segmentation threshold; the second is to determine the block width; the third is the judging meth- od to determine which blocks can be eliminated and which blocks can be kept. Experimental results show that the algorithm can not only well detect the real moving targets, but also well prevent the false targets. The algorithm effect is obvious, but simulation time has no much increase.
出处
《弹箭与制导学报》
CSCD
北大核心
2012年第4期185-187,194,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国家自然科学基金(41101373)资助
关键词
折反射全景图像
差分分块消除
运动目标检测
全景侦察
catadioptric panoramic image
differential block elimination
moving target detection
panoramic reconnaissance
