Infrared small target detection under complex background
-
摘要: 复杂背景下低信噪比弱小目标的检测是红外预警系统中的重点和难点。为解决红外图像中杂波干扰多、目标信噪比低等问题,提出一种非线性空间滤波的目标检测方法。该算法在传统线性空间滤波算法的基础上,通过对预测点周围4个象限的背景灰度值进行计算,并动态地调节阈值,以达到突出小目标的目的。试验结果表明:当背景包含较多复杂因素时,采用非线性空间滤波的检测方法可有效地抑制杂波,实现弱小目标的提取,与线性滤波算法结果相比较,虚警数降低了3/4,且易于工程实现。Abstract: Small target detection in complex background is a critical technology in the infrared warning system. Aiming at the problems that there is clutter interference in infrared image and the target-s signal-to-noise ratio is low, this paper presents a non-linear spatial filtering detection method. Based on traditional linear spatial filter algorithm, the algorithm calculates the gray value around the four quadrants of the potential target, and adjusts the dynamic threshold properly. The results show that when the background contains more complex factors, the non-linear spatial filtering method can effectively suppress the clutter to achieve the extraction of the weak target. Compared with the results of linear filtering algorithm, this algorithm decreases the number of false alarms by 3/4, and has easy engineering realization.
-
-
[1]杨磊.复杂背景条件下的红外小目标检测与跟踪算法研究[D].上海:上海交通大学,2006.
YANG Lei. Study on infrared small target detection and tracking algorithm under complex backgrounds [D]. Shanghai: Shanghai Jiaotong University,2006. (in Chinese)
[2]余农,吴常泳,汤心溢.红外目标检测的自适应背景感知算法[J]. 电子学报,2005,33(2):200-204.
YU Nong,WU Chang-yong,TANG Xin-yi. Adaptive background perception algorithm for infrared target detection [J]. Acta Electronica Sinica, 2005,33(2):200-204. (in Chinese with an English abstract)
[3]刘洋.复杂背景下红外图像中弱小目标的检测[D].吉林:吉林大学,2006.
LIU Yang.Small and dim targets detection in infrared image under complex backgrounds [D]. Jilin: Jilin University, 2006. (in Chinese)
[4]张艳晶,杨卫平.一种起伏背景下的红外小目标检测算法[J].红外技术,2004,26(1):48-51.
ZHANG Yan-jing, YANG Wei-pin.A detection algorithm of small infrared target under clutter background [J]. Infrared Technology,2004,26(1):48-51. (in Chinese with an English abstract)
[5]彭鼎祥,汤心溢,王世勇.复杂背景下红外小目标检测流水线快速预处理算法[J].半导体光电,2006,27(1):75-78.
PENG Ding-xiang, TANG Xin-yi, WANG Shi-yong. Pipeline pretreatment for infrared weak-target detection under complex background [J]. Semiconductor Optoelectronics, 2006, 27(1):75-78. (in Chinese with an English abstract)
[6]朱红,赵亦工.基于背景自适应预测的红外弱小运动目标检测[J]. 红外与毫米波学报,1999,18(4):305-310.
ZHU Hong, ZHAO Yi-gong. Detection of weak and small moving infrared targets by adaptive prediction of background [J]. Infrared Millim Wave, 1999,18(4):305-310. (in Chinese with an English abstract)
[7]俞建成,孙胜利,陈桂林.红外图像中小目标检测研究[J].红外,2006,27(4):15-19.
YU Jian-cheng, SUN Sheng-li, CHEN Gui-lin. Study of point target detection in infrared images [J]. Infrare,2006,27(4):15-19. (in Chinese with an English abstract)
[8]WEN Pei-zhi, SHI Ze-lin, YU Hai-bin, et al. A method for automatic infrared point target detection in a sea background based on morphology and wavelet transform [J],SPIE,2003,5286:248-253.
[9]DESHPANDE S D, ER MH, RONDA V, et al. Max-mean and max-median filters for detection of small-targets [J], SPIE,1999,3809:74-83.
[10]BARNETT J. Statistical analysis of median subtraction filtering with application to point target detection in infrared backgrounds [J],SPIE,1989,1050:10-15.
计量
- 文章访问数: 3127
- HTML全文浏览量: 160
- PDF下载量: 575