红外技术Issue(9)：571-574,586,5.
基于SUSAN算子的白天红外星目标检测
Daytime Infrared Star Target Detection Based on SUSAN Operator
刘帅 1王铎 1孙腾飞2
作者信息
- 1. 192941部队，辽宁 葫芦岛 125001
- 2. 92819部队，辽宁 大连 116600
- 折叠
摘要
Abstract
Affected by many factors, the infrared star image has a low SNR, and the background is nonuniform, which puts great difficulties in the process of picking up star target. According to theoretical calculation, actual star image has too low SNR to use the traditional methods to process it. Currently used morphology algorithm for the processing of star imagery is not good enough. The paper first analyzes the background characteristics, using multi-frame superimposition to weaken the random noise thus increasing the signal-to-noise ratio, and then sets the threshold to eliminate background of superimposed star maps to obtain the image only containing the target and noise. Finally, based on the characteristics of the image, we used the improved SUSAN operator for target detection and then extract the target. The experiment proved that the method can better isolated star targets compared with traditional ones.关键词
白天红外星图/自适应阈值/子图像/SUSAN算子Key words
daytime infrared star image/threshold segmentation/sub-image/SUSAN operator分类
信息技术与安全科学引用本文复制引用
刘帅,王铎,孙腾飞..基于SUSAN算子的白天红外星目标检测[J].红外技术,2013,(9):571-574,586,5.
