DocumentCode :
3487422
Title :
Research on the spaceborne SAR image processing and feature extraction for ocean fronts detection
Author :
Bentao, Zhang ; Biao, Chen ; Guoxing, Gao
Author_Institution :
Inst. of Remote Sensing, Navy Submarine Acad., Qingdao, China
Volume :
2
fYear :
2010
fDate :
12-13 June 2010
Firstpage :
473
Lastpage :
476
Abstract :
This paper discusses the interaction of short surface waves with shearing and converging current. On the basis of the spectral perturbations caused by the interaction, the influences of the interaction on the ocean surface wave spectral density and gradients are analyzed. A two-scale electromagnetic scattering model explains not only the interaction between short-wave and radar backscatter, but also the interaction between long-wave and radar backscattering. Then SAR imaging mechanism of ocean fronts is derived. In SAR images, the scale of ocean fronts is 2-3 orders larger than that of sea waves. Most of wave information is filtered out by the 2-D spatial spectrum analytics. Then the characteristic information of ocean fronts is extracted by digital image processing technology. Thus, information processing means by which characteristic information of ocean fronts can be extracted from SAR images is constructed.
Keywords :
electromagnetic wave scattering; geophysical image processing; ocean waves; oceanographic techniques; remote sensing by radar; synthetic aperture radar; converging current; digital image processing; electromagnetic scattering model; feature extraction; ocean fronts detection; ocean surface wave; radar backscatter; shearing current; spaceborne SAR image processing; synthetic aperture radar; Oceans; Radar imaging; Sea measurements; SAR; feature extraction; image processing; ocean fronts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
Type :
conf
DOI :
10.1109/CCTAE.2010.5544849
Filename :
5544849
Link To Document :
بازگشت