李芳芳, 肖本林, 贾永红, 毛星亮. SIFT算法优化及其用于遥感影像自动配准[J]. 武汉大学学报 ( 信息科学版), 2009, 34(10): 1245-1249.
引用本文: 李芳芳, 肖本林, 贾永红, 毛星亮. SIFT算法优化及其用于遥感影像自动配准[J]. 武汉大学学报 ( 信息科学版), 2009, 34(10): 1245-1249.
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LI Fangfang, XIAO Benlin, JIA Yonghong, MAO Xingliang. Improved SIFT Algorithm and Its Application in Automatic Registration of Remotely-sensed Imagery[J]. Geomatics and Information Science of Wuhan University, 2009, 34(10): 1245-1249.
Citation: LI Fangfang, XIAO Benlin, JIA Yonghong, MAO Xingliang. Improved SIFT Algorithm and Its Application in Automatic Registration of Remotely-sensed Imagery[J]. Geomatics and Information Science of Wuhan University, 2009, 34(10): 1245-1249.
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SIFT算法优化及其用于遥感影像自动配准

Improved SIFT Algorithm and Its Application in Automatic Registration of Remotely-sensed Imagery

    摘要
  • 摘要: 对传统SIFT算法从特征点提取时间和匹配精度上进行了优化,基于优化算法提取的特征点对构建三角网进行小面元微分纠正配准。试验结果表明,该方法是一种有效的遥感影像自动配准方法。

     

    Abstract: Optimized traditional SIFT algorithm from feature point extracting time and matching accuracy.Registration control points extracted from this algorithm are used to construct TIN for tiny facet primitive rectifying.Experiment results show that the method is an effective automatic registration method for remotely-sensed imagery.

     

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