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计算机工程 ›› 2011, Vol. 37 ›› Issue (7): 216-218,230. doi: 10.3969/j.issn.1000-3428.2011.07.073

• 人工智能及识别技术 • 上一篇    下一篇

基于SIFT算法的无人机影像快速匹配

何孝莹a,b,岳建伟a,b,张栩然a,b   

  1. (北京师范大学 a. 资源学院;b. 地表过程与资源生态国家重点实验室,北京 100875)
  • 出版日期:2011-04-05 发布日期:2011-03-31
  • 作者简介:何孝莹(1981-),女,博士研究生,主研方向:地图制图自动化,遥感信息提取;岳建伟,讲师、博士;张栩然,博士研究生
  • 基金资助:
    国家科技支撑计划基金资助项目(2006BAJ05A01)

Quick Match of Unmanned Aerial Vehicles Image Based on SIFT Algorithm

HE Xiao-ying a,b, YUE Jian-wei  a,b, ZHANG Xu-ran  a,b   

  1. (a. College of Resources Science and Technology; b. State Key Laboratory of Earth Surface Progress and Resource Ecology, Beijing Normal University, Beijing 100875, China)
  • Online:2011-04-05 Published:2011-03-31

摘要: 为使尺度不变特征转换算法更适合无人机影像的匹配,对该算法及其匹配策略进行探讨。对不同尺度下的影像匹配情况进行分析比较,发现减少尺度的影像匹配可缩短计算时间,但结果精度并没有降低。提出粗匹配加分块匹配的影像匹配策略,通过实验证明该策略较整体匹配能提高正确匹配点对的获取效率。

关键词: 尺度不变特征转换算法, 尺度, 分块匹配

Abstract: Research on Scale-Invariant Features Transform(SIFT) feature match algorithm is done in order to make the algorithm more suitable to Unmanned Aerial Vehicles(UAV) images matching. Results of image match in different scales are analyzed and compared. A conclusion can be drawn that image match in reduced-scale costs shorter time but the match accuracy is still high. Image strategy combined with rough match and block match is proposed. Experiments prove this strategy is put out to get higher match efficiency.

Key words: Scale-Invariant Features Transform(SIFT) algorithm, scale, block-match

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