南京航空航天大学学报2011，Vol.43Issue(6)：810-815,6.
火星探测无人机快速景象匹配算法
Fast Scene Matching for Exploration Unmanned Aerial Vehicle on Mars
摘要
Abstract
Mars unmanned aerial vehicles (UAV) are one of the development directions of future deep space exploration. Through describing the characteristics of Mars UAV exploration flight and the limitations of its on-board computers, and on the base of full study of the nature of singular value feature vector, the principal components of singular value feature vector are analyzed. Then, a stratified fast image matching method based on singular value decomposition and its on-board data storage mode are proposed for level flight segment of Mars UAV. Simulation comparied with other correlation methods show that the method is more feasible. Using the SIFT operator-based matching algorithm at the end of the flight, switching between the two methods can reduce general performance requirements of its onboard computer, while achieving fast image matching for the whole Mars UAV exploration flight.关键词
无人机/火星探测/景象匹配/奇异值分解/特征提取Key words
unmanned aerial vehicle/ Mars exploration/ scene matching/ singular value decomposition/ feature extraction分类
航空航天引用本文复制引用
姚克明,刘燕斌,陆宇平,芮挺..火星探测无人机快速景象匹配算法[J].南京航空航天大学学报,2011,43(6):810-815,6.基金项目
航空科学基金(2008ZA52010)资助项目 （2008ZA52010）
高等学校博士学科点专项科研基金(20093218120035)资助项目 （20093218120035）
南京航空航天大学基本科研业务费专项科研(NS2010213)资助项目. （NS2010213）
