DocumentCode :
559950
Title :
A New Automatic Matching Algorithm of Aerial Remote Sensing Images
Author :
Wang, Zhiqiang ; Cheng, Hong ; Sun, Wenbang ; Yu, Guang ; Wu, Di
Author_Institution :
Dept. of Specialty, Aviation Univ. of Air Force, Changchun, China
Volume :
2
fYear :
2011
fDate :
24-25 Sept. 2011
Firstpage :
377
Lastpage :
380
Abstract :
In order to solve the traditional problems of matching algorithms such as false-matching and inefficiency, an automatic matching algorithm of aerial remote sensing images based on maximum gradient phase correlation is proposed in this paper. By combining Fourier phase correlation and image gradient, the new algorithm can be broken down into the rough matching and the precise matching with a specific example to show the feasibility of the algorithm in solving the false-matching problem. Experiments show that the aerial remote sensing images are matched automatically and the improved method is steady and the optical aerial remote sensing images can be matched effectively.
Keywords :
geophysical image processing; gradient methods; image matching; remote sensing; Fourier phase correlation; aerial remote sensing images; automatic matching algorithm; image gradient; maximum gradient phase correlation; Algorithm design and analysis; Correlation; Fourier transforms; Image matching; Image processing; Real time systems; Remote sensing; Fourier transform; Image matching; maximum gradient; phase correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
Type :
conf
DOI :
10.1109/ICM.2011.145
Filename :
6113546
Link To Document :
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