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Study on Application of Scale Invariant Feature Transform Algorithm on Automated Geometric Correction of Remote Sensing Images

文献类型： 会议论文

第一作者： Jia Liu

作者： Jia Liu 1 ; Limin Wang 1 ; Hui Deng 1 ; Dandan Li 1 ; Zhongxin Chen 1 ; Qingbo Zhou 1 ;

作者机构： 1.Key Lab. of Resources Remote Sensing & Digital Agriculture,Ministry of Agriculture, 10081, Beijing, P.R. China,Institute of Agriculture Resources and Regional Planning,Chinese Academy of Agricultural Sciences, 10081, Beijing, P.R. China

关键词： remote sensing image;automatic geometric correction;SIFT algorithm;least squares

会议名称： IFIP WG 5.14 international conference on computer and computing technologies in agriculture

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页码： 352-358

摘要： In recent years, data collected from remote sensing satellite and aerophotography have been showing a geometric sequence increase. A method of Scale Invariant Feature Transform (SIFT) algorithm could be employed for the automatic geometric fine correction. This method could avoid the impact of the rotation and zooming of template matching during the image matching process, and it can also save the labor during the image processing operation. Based on the SIFT algorithm, this paper proposes a two-step method, which firstly conducts coarse match on feature points, and then further conducts fine correction on the coarsely matched feature points by using the least squares technique. The result indicates that, this method is an effective automatic matching method for remote sensing images.

分类号： s1

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[1]Classification Methods of Remote Sensing Image Based on Decision Tree Technologies. Jiang, Lihua,Wang, Wensheng,Yang, Xiaorong,Xie, Nengfu,Jiang, Lihua,Wang, Wensheng,Yang, Xiaorong,Xie, Nengfu,Cheng, Youping. 2011

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