Volume 38 Issue 4
Apr.  2013
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ZHANG Qian, JIA Yonghong, HU Zhongwen. An Improved SIFT Algorithm for Multi-source Remote Sensing Image Registration[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 455-459.
Citation: ZHANG Qian, JIA Yonghong, HU Zhongwen. An Improved SIFT Algorithm for Multi-source Remote Sensing Image Registration[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 455-459.
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An Improved SIFT Algorithm for Multi-source Remote Sensing Image Registration

  • 1School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)(2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

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  • Received Date: March 12, 2013
  • Revised Date: April 04, 2013
  • Published Date: April 04, 2013
    Graphical Abstract
    • Abstract
  • Considering the low efficency and mismatching in SIFT\|based multi\|source remote sensing image registration, we improve the SIFT algorithm through two aspects of point feature extraction and point feature matching. Firstly, we acquire an appropriate number of well-distributed point features by controlling their number and distribution. Secondly, an optimized strategy is adopted to realize a coarse\|to\|fine feature point matching approach by applying the initial affine matching, precise matching and mismatching elimination processes. Experiments on several multi\|source data sets show that the proposed algorithm performs better than the SIFT algorithm on both efficiency and accuracy.
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    • References (12)
  • [1]
    吕金健. 基于特征的多源遥感图像配准技术研究
    [D]. 长沙：国防科学技术大学, 2008
    [2]
    Lowe D G. Object Recognition from Local Scale Invariant Features
    [C]. International Conference on Computer Vision, Corfu, Greece, 1999
    [3]
    Lowe D G. Distinctive Image Features from Scale invariant Keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110
    [4]
    Mikolajczyk K, Schmid C. A Performance Evaluation of Local Descriptors [J]. IEEE Transations on Pattern Analysis and Machine Intelligence, 2005, 27(10):1 615-1 630
    [5]
    李晓明, 郑链, 胡占义. 基于SIFT特征的遥感影像自动配准[J]. 遥感学报, 2006, 10(6): 885-892
    [6]
    Sedaghat A, Mokhtarzade M, Ebadi H. Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(11): 4 516-4 527
    [7]
    李芳芳, 肖本林, 贾永红，等. 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):1 245-1 249
    [8]
    郑永斌, 黄新生, 丰松江. SIFT和旋转LBP相结合的图像匹配算法[J]. 计算机辅助设计与图形学学报, 2010, 22(2): 286-292
    [9]
    朱志文, 沈占峰, 骆剑承. 改进SIFT点特征的并行遥感影像配准[J].遥感学报, 2011, 15(5): 1 032-1 039
    [10]
    王瑞瑞, 马建文, 陈雪. 多传感器影像配准中基于虚拟匹配窗口的SIFT算法[J]. 武汉大学学报·信息科学版, 2011, 2(36): 163-166
    [11]
    Li Qiaoliang, Wang Guoyou, Liu Jianguo. Robust Scale-Invariant Feature Matching for Remote Sensing Image Registration [J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 287-291
    [12]
    凌志刚, 梁彦, 程咏梅，等.一种稳健的多源遥感图像特征配准方法[J]. 电子学报, 2010, 38(12): 2 892-2 897
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