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