Ocean Wave Spectrum from SAR Image Using 2D-ARMA Model

摘要

For more than two decades, SAR images have been evaluated as a means to ocean wave spectrum in oceanographic remote sensing. To fulfill the role, Hasselmann and Hasselmann's SAR imaging theory of ocean surface and Lyzenga and Monaldo's method to evaluate ocean spectrum from SAR image are jointly the attractive ways. In this present paper, a two-dimensional ARMA (auto regressive moving average) model is addressed to extract ocean spectrum information from ENVISAT-ASAR image of South-China Seas. The relation between the parameters of a 2-D ARMA model and ENVISAT-ASAR image is investigated and a new algorithm is proposed based on this relation. Example is given with using ENVISAT-ASAR image. As a result of this example, it is shown that the ARMA parameters and the corresponding power spectrum estimated by the proposed model are practical way to gain the ocean spectrum.