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This paper is focused on an analysis of the real images of ocean surface, such as dark ocean surface, sunlight effect on ocean surface and reflected by boat, by using two- dimensional weighted least square method (2D-WLSM). We introduced three different factor values to achieve and get the maximum information of the ocean surface which contained some noisy signal. We determine the attributes of the real image using an image tool, then we convert the axes coordinates of the real image in to the pixel coordinates and obtain the pixel information of the real images by the 2D- WLSM, and finally we compare the response factors of the measured values for the different cases. It is shown that the measured pixel response values are very close to the factor values and the errors between them are very small. Compared the error of the traditional LSM with WLSM we used, our method has shown better graphic results and the error are significantly reduced.

Analysis of Real Ocean Surface Photo Imaging by Using Weighted Least Square Method