Method for selecting control points for remote sensing image registration based on distribution quality

被引：1

作者：

Guo Y. ^{[1
]}

Gu Y.-F. ^{[1
]}

Guan Z.-W. ^{[1
]}

Zhang Y. ^{[1
]}

机构：

[1] Institute of Image and Information Technology, Harbin Institute of Technology, Harbin 150001, Heilongjiang

来源：

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2010年 / 38卷 / 12期

关键词：

Control point; Distribution quality; Image registration; Random sample consensus; Remote sensing image; Scale-invariant feature transform;

D O I：

10.3969/j.issn.1000-565X.2010.12.010

中图分类号：

学科分类号：

摘要：

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.

引用

页码：50 / 55

页数：5

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