摘要
为解决低信噪比运动点目标在实时检测中的系统抖动和信噪比低等问题,根据运动点目标的特点,提出了基于数学形态学滤波、目标光强度连续性和假设检验的点目标检测方法。基于数学形态学的高通滤波器能较强地抑制背景噪声并增强目标;利用光强度时空连续性识别目标;假设检验对解决目标丢失和新目标出现都具有较好的效果。用TMS320C6201高速信号处理器的处理结果表明:算法对信噪比约为2的点目标检测性能较为满意。
To resolve the problems in real time detection of moving dim small target, such as system dithering and low signal noise ratio, a new method based on mathematical morphology filtering, the continuity of target's intensity and hypothetical test according to the characters of moving dim small target is presented. High\|pass filter based on mathematical morphology can suppress clutters and emphasize the target\|like peaks. The continuity of the target's photic intensity can be used to identify target effectively. Hypothetical test has attractive result to resolve the problems of target missing and new target occurring. The algorithm has been realized on the TMS320C6201 digital signal processor (DSP), and the experiment results show that the method of detecting the moving dim point target is efficasious when SNR is about 2.
出处
《红外与激光工程》
EI
CSCD
北大核心
2002年第6期473-477,共5页
Infrared and Laser Engineering
基金
国家863计划光束控制重点实验室资助项目(863 802
845)
关键词
序列图像
目标检测
数学形态学
假设检验
多目标
Target detection
Mathematical morphology
Hypothetical test
Point target
