Analysis and Evaluation of One-dimensional Sea Surface Features Based on FSV

This paper presents a method of extracting and evaluating one-dimensional dynamic sea surface features based on the feature selective validation (FSV). The Monte Carlo method is used to model the one-dimensional dynamic sea surface. The influence of different wind speeds on sea surface height fluctuation is simulated and analyzed. At the same time, the distribution of gravity spectrum and tensor spectrum of one-dimensional rough sea surface under different wind speeds are analyzed based on FSV. The results show that this method can effectively extract the undulation feature of one-dimensional rough sea surface, and realize the quantitative and intuitionistic analysis and evaluation of data features.