首页 | 本学科首页   官方微博 | 高级检索  
     检索      

低对比度目标自动识别技术研究
引用本文:孙晓明,霍富荣,田凡,王文生.低对比度目标自动识别技术研究[J].光子学报,2007,36(11):2153-2156.
作者姓名:孙晓明  霍富荣  田凡  王文生
作者单位:长春理工大学,现代光学测试技术研究室,长春,130022
摘    要:提出了在实时光电混合联合变换相关器中应用拉普拉斯锐化技术.通过对联合变换功率谱面的锐化处理,提高了联合变换功率谱的杨氏条纹对比度,使得相关峰的对比度明显增强,从而提高了目标识别率.实验证明:利用该技术所能探测的目标对比度最低限度约为0.5%.作为实例,给出复杂背景下低对比度(0.8%)地面目标汽车的实验结果.

关 键 词:联合变换相关器  拉普拉斯锐化  复杂背景  目标识别
文章编号:1004-4213(2007)11-2153-4
收稿时间:2006-06-26
修稿时间:2006年6月26日

Research on Auto Recognition Technology With Low Contrast Target
SUN Xiao-ming,HUO Fu-rong,TIAN Fan,WANG Wen-sheng.Research on Auto Recognition Technology With Low Contrast Target[J].Acta Photonica Sinica,2007,36(11):2153-2156.
Authors:SUN Xiao-ming  HUO Fu-rong  TIAN Fan  WANG Wen-sheng
Abstract:The technology of the laplacian sharpening effect is applied in the real-time photoelectronic joint transform correlator. Through sharpening process of joint transform power spectrum plane, it improves Yong′s interference fringes contrast of joint transform power spectrum. The constrast of correlation peak is enhanced,and the ratio of target recognition is also improved greatly. The experimental results indicate that the lowest limitation of detected target contrast used by this technology is about 0.5%. The experiment result of the low contrast(0.8%) ground target-automobile under the cluttered background is given.
Keywords:Joint transform correlator  Sharpening effect of the laplacian  Cluttered background  Target recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《光子学报》浏览原始摘要信息
点击此处可从《光子学报》下载免费的PDF全文
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