Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (12): 50-55.doi: 10.3969/j.issn.1000-565X.2010.12.010

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Method for Selecting Control Points for Remote Sensing Image Registration Based on Distribution Quality

Guo Yan  Gu Yan-feng  Guan Zhuo-wei  Zhang Ye   

  1. Institute of Image and Information Technology,Harbin Institute of Technology,Harbin 150001,Heilongjiang,China
  • Received:2010-03-08 Revised:2010-08-03 Online:2010-12-25 Published:2010-12-25
  • Contact: 郭琰（1980-），男，博士生，主要从事多传感器图像配准与变化检测研究． E-mail:guoyan3000@gmail．com
  • About author:郭琰（1980-），男，博士生，主要从事多传感器图像配准与变化检测研究．
  • Supported by:

    国家自然科学基金资助项目（60872098 60972143 60972144）

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Abstract:

In order to improve the registration accuracy of remote sensing image,a method for selecting control points is proposed based on uniform distribution quality.In this method,first,control points are extracted via the scale-invariant feature transform,and wrong matched control points are deleted by means of random sample consensus（RANSAC）.Then,the common area of the image pair is divided into several sub-regions and suitable control points are selected according to the distribution quality.Finally,the parameters of the affine transformation model are estimated through the least squares approximation and the registration is conducted via the coordinate transformation of the input image.Experimental results of various kinds of remote sensing images prove that the proposed method effectively removes the wrong matched control points,guarantees the distribution uniformity of control points and reduces the registration error.

Key words: remote sensing image, image registration, control point, distribution quality, scale-invariant feature transform, random sample consensus