DocumentCode :
1995796
Title :
Automatic remote sensing image registration based on SIFT descriptor and image classification
Author :
Zhu, Zhiwen ; Luo, Jiancheng ; Shen, Zhanfeng
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
geophysical image processing; image classification; image fusion; image registration; remote sensing; SIFT descriptor; automatic remote sensing image registration; image alignment; image classification; scale invariant feature transform; Accuracy; Charge coupled devices; Image classification; Image registration; Pixel; Remote sensing; Support vector machine classification; Classification; Image Matching; Image Registration; Remote Sensing; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2010 18th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7301-4
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2010.5567705
Filename :
5567705
Link To Document :
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