Intelligent sea surface clutter region classification method based on fractal Hurst index

The invention provides an intelligent sea clutter region classification method based on a fractal Hurst index, noise in radar echoes can be modeled through Brownian motion, the Hurst index is 0.5, the fractal Hurst index of sea clutter is generally lower than 0.5, along with the extension of distance, noise components in the echoes are gradually increased, the fractal Hurst index tends to 0.5 in an S shape, and according to the change rule of an S-shaped curve, the fractal Hurst index of the sea clutter can be calculated according to the change rule of the S-shaped curve. A sea surface is divided into a clutter area, a transition area and a noise area, multiple pieces of radar echo video data are classified by using the method, an algorithm training data set is constructed, a classification algorithm for sea surface area division is trained, and rapid sea surface area division is realized. 本发明提出了一种基于分形Hurst指数的智能海面杂波区域分类方法，雷达回波中的噪声可用布朗运动进行建模，Hurst指数为0.5，而海杂波的分形Hurst指数一般低于0.5，随着距离的延伸，回波中的噪声分量逐渐增多，分形Hurst指数以S形趋于