DocumentCode :
3055786
Title :
Retrieval of ocean wavelength and wave direction from SAR image based on radon transform
Author :
Wei Zhao ; Guoqing Zhou ; Tao Yue ; Bo Yang ; Xiaodong Tao ; Jingjin Huang ; Chuntao Yang
Author_Institution :
GuangXi Key Lab. for Spatial Inf. & Geomatics, Guilin Univ. of Technol., Guilin, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
1513
Lastpage :
1516
Abstract :
The method for retrieving the ocean wave spectrum from the Synthetic Aperture Radar (SAR) imagery is currently the most widely used for calculation of the wave high, wavelength and wave direction. However the most current of methods are relatively complicated. This paper presents an algorithm which is based on Radon transform. In this algorithm, firstly, with the property of Radon transform that the line in the SAR image and the point in the transformed space are one-to-one correspondence, the texture feature of the wave in SAR image is detected to calculate the wavelength and probable wave direction. Secondly, according to the theory of the ocean wave and the trends of the wavelength in two close sub-images, the actual wave direct ion is determined eventually. This article selects an ERS - 2 SAR image around Taiwan as the study area. The results of calculation are compared with the results obtained by Two-Dimensional Fast Fourier Transform (2D- FFT). The study results demonstrate that the use of the Radon transform is available without loss of the accuracy when retrieving the wave wavelength and wave direction from the ERS-2 SAR images.
Keywords :
fast Fourier transforms; geophysical image processing; image texture; ocean waves; oceanographic regions; oceanographic techniques; radar imaging; remote sensing by radar; 2D FFT; 2D fast Fourier transform; ERS-2 SAR image; SAR imagery; Taiwan; ocean wave direction; ocean wave height; ocean wave spectrum; ocean wavelength retrieval; probable wave direction; radon transform; synthetic aperture radar; transformed space; wave direction retrieval; wave texture feature; Accuracy; Educational institutions; Feature extraction; Ocean waves; Oceans; Synthetic aperture radar; Transforms; Radon Transform; SAR; ocean wave; retrieval; texture features;
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.2013.6723074
Filename :
6723074
Link To Document :
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