Automatic Remote Sensing Image Registration Based on SIFT Descriptor and Image Classification

被引：0
|
作者：
Zhu, Zhiwen [1 ]
Luo, Jiancheng [1 ]
Shen, Zhanfeng [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China
来源：
2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS | 2010年
关键词：
Image Registration; Image Matching; SIFT; Classification; Remote Sensing;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Scale Invariant Feature Transform (SIFT) has been widely used in remote sensing image registration. However, there are many false matches when it is adopted to align images of different sensors. In this paper, a new method based on the combination of image classification and SIFT descriptor is proposed to improve the performance of registration. Experiment results support the potential of the proposed approach in remote sensing image registration.
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页数：5
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