Small Moving Target Detection in Super Field Infrared Image Sequences
The Infrared Search and Track System(IRST), coupled with single super field infrared fish-eye lens, is a breakthrough in the infrared warning technology and it has many merits. In this paper, the characteristic of the super field infrared background is analyzed, which is different from that of the small field. An improved method named area maximization background model is used to suppress the background and the signal-to-noise ratio(SNR) is increased. Then, together with frame correlation technology the target is detected in the end. After experiment it is shown that this method is reliable to detect small moving target in super field infrared image sequences.
super field inferred image background prediction threshold segmentation small moving target detection
Y.L.Zhou Y.Q.He Y.Z.Wang
Ordnance Engineering College, Shijiazhuang City, Hebei Province, China
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
1014-1017
2009-08-01(万方平台首次上网日期,不代表论文的发表时间)