Title :
The Application of Two-Dimensional EMD to Extracting Internal Waves in SAR Images
Author :
Kang, Jian ; Zhang, Jie ; Song, Pingjian ; Meng, Junmin
Author_Institution :
Coll. of Environ. Sci. & Eng., Ocean Univ. of China, Qingdao
Abstract :
SAR (synthetic aperture radar) is imaged by resonant interaction between radar wave and micro scale sea-surface waves. All ocean processes that affect the distribution of micro scale wave spectrum can be found in SAR images, such as ocean wave, internal waves, mesoscale eddies, fronts, etc. Thus a SAR image of sea surface often mingles with different scale ocean processes. Internal waves are often manifested in SAR images with other signals simultaneously, such as ocean wave. In this paper, 2D-EMD (two-dimensional empirical mode decomposition) algorithm is used to extract internal wave from SAR image. This algorithm produces a fully two dimensional decomposition of a SAR image into a series of IMF (intrinsic mode functions) and residual images with the same size as the original image. By combining IMF images, internal waves and ocean waves are separated. Comparing with the wavelet analysis, one can find that the 2D-EMD is more effective. The results preliminarily show that 2D-EMD provides a significant way to extract internal wave from an aliasing SAR image.
Keywords :
ocean waves; oceanographic techniques; radar imaging; synthetic aperture radar; 2D empirical mode decomposition; IMF image; SAR image; intrinsic mode function; micro scale sea-surface wave; ocean wave; synthetic aperture radar wave; two-dimensional EMD algorithm; Application software; Computer science; Educational institutions; Numerical models; Ocean waves; Sea surface; Software engineering; Surface waves; Synthetic aperture radar; Wavelet analysis; SAR; Two-dimensional EMD; internal wave;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1224