[1]谭志园 孙继银 王忠 张财兴.景象匹配算法研究进展与展望[J].计算机技术与发展,2012,(09):66-70.
　TAN Zhi-yuan,SUN Ji-yin,WANG Zhong,et al.Status and Prospect of Algorithm for Scene Matching Systems[J].,2012,(09):66-70.
点击复制

景象匹配算法研究进展与展望()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年09期
页码:
66-70
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Status and Prospect of Algorithm for Scene Matching Systems
文章编号:
1673-629X（2012）09-0066-05
作者:
谭志园1 孙继银2 王忠2 张财兴1
[1]中国人民解放军96401部队[2]第二炮兵工程大学
Author(s):
TAN Zhi-yuan;  SUN Ji-yin;  WANG Zhong;  ZHANG Cai-xing
[1]Troops No. 96425 of PLA[2]Second Artillery Engineering University
关键词:
景象匹配; 相似性度量; 矩不变量; 角点; SIFT
Keywords:
scene matching;  similarity measure;  moment invariant;  angular point;  SIFT
分类号:
TP391
文献标志码:
A
摘要:
景象匹配是精确制尊武器精确定位目标的重要方法，景象匹配算法决定了精确制导武器系统的作战性能。论文介绍了景象匹配算法实现的关键要素，详细综述了具有代表性的基于区域、基于特征、基于变换域以及基于模型的四类匹配算法的不同原理、适用性及其改进算法，探讨了景象匹配算法中有待进一步研究的问题和未来发展的方向，为未来的景象匹配制导研究工作提供技术参考和依据。景象匹配制导技术正朝着更稳定可靠、更智能、更快捷、更精确的方向发展，必将推动精确制导武器装备实现现代化和自动化
Abstract:
Scene matching is the important method to pinpoint targets for precision guide weapon. Scene matching algorithm determines the operational performance of the precision weapons system. In this paper,the key elements of scene matching algorithm are introduced, describe the different principle and applicability of some representative algorithms which include the classical algorithms based on region, feature, transformation domain and model as well as its improved method in detail, the issue needed to be investigated farther and future direction is discussed. Provide the technical reference and basis for scene matching systems in the future. The development of scene matching guidance technology which will push precision weapons equipment minute and automatic will be more intelligent,faster and more accurate

相似文献/References:

[1]汪彦龙 刘金华 王丽萍.基于对象空间关系的图像检索方法研究[J].计算机技术与发展,2006,(01):66.
　WANG Yan-long,LIU Jin-hua,WANG Li-ping.Research of Image Retrieval Method Based on Object Spatial Relationships[J].,2006,(09):66.
[2]邵昌昇 楼巍 严利民.高维数据中的相似性度量算法的改进[J].计算机技术与发展,2011,(02):1.
　SHAO Chang-sheng,LOU Wei,YAN Li-min.Optimization of Algorithm of Similarity Measurement in High-Dimensional Data[J].,2011,(09):1.
[3]王晓阳,张洪渊,沈良忠,等.基于相似性度量的高维数据聚类算法研究[J].计算机技术与发展,2013,(05):30.
　WANG Xiao-yang,ZHANG Hong-yuan,SHEN Liang-zhong,et al.Research on High Dimensional Clustering Algorithm Based on Similarity Measurement[J].,2013,(09):30.
[4]张应辉,李雪. 基于模糊聚类的旅游推荐算法[J].计算机技术与发展,2016,26(12):99.
　ZHANG Ying-hui,LI Xue. A Tourism Recommendation Algorithm Based on Fuzzy Clustering[J].,2016,26(09):99.

备注/Memo

备注/Memo:
总装武器装备预研基金（513220208）谭志园（1986-），女，山东菏泽人，助理讲师，硕士研究生，研究方向为图像匹配与目标识别；孙继银，教授，研究方向为指挥自动化及航空信息应用等
更新日期/Last Update: 1900-01-01