首页 | 本学科首页   官方微博 | 高级检索  
     

天基平台小目标特征提取算法研究
引用本文:任超伟,刘恩海,钟杰.天基平台小目标特征提取算法研究[J].计算机与数字工程,2009,37(2).
作者姓名:任超伟  刘恩海  钟杰
作者单位:1. 中国科学院光电技术研究所,成都,610209;中国科学院研究生院,北京,100039
2. 中国科学院光电技术研究所,成都,610209
摘    要:针对天基平台凝视模式下小目标成像的特点,根据目标的检测、识别、跟踪的实时性要求,提出了一种以线段表为基础的小目标重心、面积、平均灰度、形状因子等特征的提取算法,并在这些参数的基础上提出了以孤星为基础的图像配准算法提取出目标的配准参数.在Matlab环境下,利用星模拟器输出图像对算法作了验证.

关 键 词:小目标  线段表  目标特征  图像配准  孤星

Discussion on Space-Based Small Target Features Extraction Algorithm
Pen Chaowei,Liu Enhai,Zhong Jie.Discussion on Space-Based Small Target Features Extraction Algorithm[J].Computer and Digital Engineering,2009,37(2).
Authors:Pen Chaowei  Liu Enhai  Zhong Jie
Affiliation:The Instituteof Optics and Electronics;Chinese Academy of Science1;Graduate School of Chinese Academy of Science2
Abstract:In view of space-based imaging characters on staring mode,to satisfy real time needing performance on target detecting,recognizing and tracking,a line table based algorithm was presented for extracting small target features such as cg,area,average brightness,shape factor.Besides,on the basis of these features,an idea was given for image registration by finding the isolate star to extracting the registration parameter.In the end of this article,the author verified the algorithm using the star simulator outpu...
Keywords:small target  line table  target features  image registration  isolate star  
本文献已被 CNKI 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