首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波变换的红外图像弱小目标检测研究
引用本文:牟松涛,苏锦鑫,吴建东. 基于小波变换的红外图像弱小目标检测研究[J]. 红外与激光工程, 2004, 33(5): 488-492
作者姓名:牟松涛  苏锦鑫  吴建东
作者单位:上海航天技术研究院,第八○三研究所,上海,200233;上海航天技术研究院,上海,200233
摘    要:针对红外图像弱小点目标检测中遇到的难点,即信噪比低、帧间相对运动和强噪声干扰等问题,给出了一种帧间膨胀累积提高信噪比的方法,并且提出将l/f噪声白化和白噪声去除同步处理的新思路,大量的仿真实验证明,该方法能够很好地抑制噪声对图像的影响,大大提高信噪比,降低误检率。

关 键 词:红外图像  小波变换  弱小目标  1/f噪声  信噪比  形态膨胀
文章编号:1007-2276(2004)05-0488-05
收稿时间:2003-10-02
修稿时间:2003-10-02

Infrared small target detection technique based on wavelet transform
MU Song-tao,SU Jin-xin,WU Jian-dong. Infrared small target detection technique based on wavelet transform[J]. Infrared and Laser Engineering, 2004, 33(5): 488-492
Authors:MU Song-tao  SU Jin-xin  WU Jian-dong
Affiliation:MU Song-tao~1,SU Jin-xin~2,WU Jian-dong~1
Abstract:In view of the difficulties in detecting long-distance target, such as low SNR, relative movement in frames and noise, a preprocessing algorithm using morphological dilation before accumulation and tracking is presented to enhance the target. Wavelet transform is adopted to remove the correlation of 1/f noise in parallel scanned infrared image and keep down the gaussian noise effectively at the same time. Furthermore, the relationship between threshold, detected probability and faulty detected probability of point target in single image is also expatiated. The experimental result indicates that the algorithm can effectively detect the point target with SNR=2.
Keywords:Infrared image  Wavelet transform  Weak small target  1/f noise  SNR  Morphological dilation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号