An Efficient Method of Small Targets Detection in Low SNR
In this paper, an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex background. The morphologic filter can be constructed firstly based on the IR radiation traits of low SNR small targets in the complex background and then a morphological method is used to eliminate the influence of the unbalance background to the image segmentation. Next an algorithm of adaptive threshold segmentation is adopted in order to select the small moving target and the noise points. Finally,on the basis of image sequences, the satisfactory targets detection is accomplished after eliminating wrong point targets. The method presented in this paper can effectively suppress the noise and the air background of the original image, enhance the ability of point target detection in single frame.
Y L Wang J M Dai X G Sun Q Wang
Department of Automation Measurement and Control Engineering, P.O.Box 308,Harbin Institute of Technology, Harbin, 150001, China
国际会议
第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)
哈尔滨
英文
427-430
2006-08-08（万方平台首次上网日期，不代表论文的发表时间）