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景象匹配辅助组合导航中景象区域适配性研究进展
引用本文:沈林成,卜彦龙,徐昕,潘亮.景象匹配辅助组合导航中景象区域适配性研究进展[J].航空学报,2010,31(3):553-563.
作者姓名:沈林成  卜彦龙  徐昕  潘亮
作者单位:1. 国防科学技术大学机电工程与自动化学院,湖南,长沙,410073
2. 国防科学技术大学机电工程与自动化学院,湖南,长沙,410073;北京航天飞行控制中心,北京,100094
基金项目:国家自然科学基金重点项目,湖南省自然科学基金,国防科学技术大学优秀博士创新基金 
摘    要:对景象匹配辅助组合导航的关键技术之一——景象区域适配性技术的基本模型、国内外发展现状以及目前有待于继续完善的若干问题进行综述。首先对景象区域适配性涉及的概念、评价指标、关键技术进行综合分析,剖析各环节技术内涵与相互关系,提出景象区域适配性研究的一般框架;指出目前国内外研究方法中存在的差异,将目标跟踪领域中与景象区域适配性相关的技术成果引入景象区域适配性研究框架中;分析多源图像匹配中景象区域适配性与传感器特性、匹配算法以及应用约束间的制约关系。综述旨在扩展和深化景象区域适配性研究的理论与方法。

关 键 词:景象匹配辅助组合导航  景象区域适配性  匹配概率  匹配精度  特征指标  综合特征量  适配性评价  约束关系  

Research on Matching-area Suitability for Scene Matching Aided Navigation
Shen Lincheng,Bu Yanlong,Xu Xin,Pan Liang.Research on Matching-area Suitability for Scene Matching Aided Navigation[J].Acta Aeronautica et Astronautica Sinica,2010,31(3):553-563.
Authors:Shen Lincheng  Bu Yanlong  Xu Xin  Pan Liang
Institution:1.College of Mechatronics Engineering and Automation,National University ofDefense Technology 2.Beijing Aerospace Control Center
Abstract:This article provides a comprehensive survey of the basic research model, technology development, and main issues for improving matching-area suitability, which is one of the key issues of scene matching aided navigation. First, the main concepts, evaluating criteria and key sub-technologies are analyzed. Based on the summary of each sub-technology and their correlations, a general research frame is proposed. Differences of study methods between researchers in China and abroad are pointed out, and subsequently some related techniques in the field of target tracking are introduced into the research frame of matching-area suitability. Finally, for multi-source image matching, the restrictions between matching-area suitability and sensor characteristics, image registration algorithms, and application constraints are summarized. The survey is expected to help enlarge the scope of technologies and methods for matching-area suitability.
Keywords:scene matching aided navigation  matching-area suitability  matching probability  matching precision  feature criterion  synthetical feature  evaluation  restriction
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