徐辛超,徐爱功,刘少创

• 1:辽宁工程技术大学测绘与地理科学学院
• 2:中国科学院遥感与数字地球研究所

摘要(Abstract)：

针对传统SIFT匹配方法用于嫦娥三号降落影像匹配效率低的问题,提出了一种改进的降落影像序列特征匹配方法。重构了着陆器垂直降落阶段拍摄过程的几何模型,并得到了不同降落影像中的同名匹配点之间的几何约束关系,然后通过SIFT方法进行影像中极值点的提取和特征描述,最终将几何模型约束用于极值点的匹配点搜索过程中,优化了匹配过程。采用嫦娥三号着陆器真实降落影像进行了试验,结果表明,改进方法能够取得较为稳定的匹配结果,且平均可以减少约为18%的匹配耗时,研究结果对后续深空探测任务的开展具有重要的参考价值。

关键词(KeyWords)： SIFT;嫦娥三号着陆器;降落影像;影像匹配

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划(2016-YFC0803102);; 国家自然科学基金项目(41401535)

作者(Author): 徐辛超,徐爱功,刘少创

DOI: 10.16251/j.cnki.1009-2307.2017.05.026

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