DocumentCode :
3067970
Title :
An auto-registration method for space-borne SAR images based on FFT-shift theory and correlation analysis in multi-scale scheme
Author :
Yixian Tang ; Chao Wang ; Hong Zhang ; Yongjie He
Author_Institution :
Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3550
Lastpage :
3553
Abstract :
SAR co-registration is one of the crucial steps in the process of SAR image analysis, especially for multi-temporal SAR images analysis. Focusing on the repeat-pass space-borne SAR images, an auto-registration method for repeat-pass SAR complex image pair is proposed, which combines the Fourier transform and correlation-coefficient algorithm in a multi-scale scheme. Firstly, an initial offset is estimated in Fourier domain by using the 3rd level wavelet decomposition sub-image. Then taking these initial offset into account, match-search window pairs are randomly located over reference and sensed images for correlation analysis to get the identical points which are used for estimating the registration model in fine scale. In order to evaluate the proposed method, ALOS-PALSAR and RadarSAT-2 data in different area are selected as experiment data. And the experimental results show that the proposed technique allows the co-registration of the SAR images with the accuracy up to a fraction of a pixel automatically without a priori knowledge.
Keywords :
correlation methods; decomposition; fast Fourier transforms; image registration; image sensors; radar imaging; search problems; spaceborne radar; synthetic aperture radar; wavelet transforms; 3rd level wavelet decomposition subimaging; ALOS-PALSAR data; FFT-shift theory; Fourier transform; RadarSAT-2 data; SAR coregistration; auto-registration method; correlation-coefficient algorithm; image sensor; match-search window pair; multiscale scheme; multitemporal spaceborne SAR image analysis; repeat-pass space-borne SAR image analysis; Accuracy; Correlation; Image registration; Remote sensing; Spaceborne radar; Synthetic aperture radar; Wavelet transforms; FFT; SAR; correlation-coefficient analysis; multi-scale; registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723596
Filename :
6723596
Link To Document :
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