The Research Of Infrared Moving Weak Small Target In The Sky Detection Method

In recent years, With the quick development of computer and digital image processing technology, the infrared target detection technique start to be extensive apply in make to lead, follow, automatic control, artificial intelligence etc. many realm.Because the infrared moving weak and small target has the characteristics that the distance is far, the area is small, the shape characteristic is weak, the detail characteristic part lose and the SNR is low etc., to the infrared moving weak and small target detection is a important and difficult point of the target detection.At present, the research the infrared moving weak and small target detection method is eagerly and quickly at domestic, has the certain foundation, but there is still a huge gap to attain the satisfactory technique level, besides any detection method aimed at some point and has its limitation.The research of the infrared moving weak and small target detection theories and methods, always for raising the SNR, the detection ability of target within complicated background; Increase the detection probability, coverage, efficiency and reliabi1ity of detection algorithm descend falsely rate of alarm. So, It' s still a challenging subject that the methods about infrared moving weak and small target detection.We used the infrared sequence dynamic image data that acquired at some electronic range, based on analysis of features of image, to research the method of infrared moving weak and small target detection. Based on the previous research, a pretreatment based on greyhound scale morphologic background-constrict; a frame detection method used of self-adapt threshold to segment the pretreated image, a frame detection method used 8 close area based on the relationship between suspicious targets in the image sequence close frames are presented in this paper.The result of experiment show that the arithmetic is reasonably, andthe system is reliable and effective.