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为了检测海面背景中的舰船目标,分析了目标存在时背景信号混沌特征的变化,提出了一种基于图像区域Lyapunov指数的目标检测新方法.新方法定义了图像灰度距离的概念,基于改进的Wolf方法将一维信号Lyapunov指数提取方法扩展到图像信号,利用图像区域最大灰度距离Lyapunov指数的变化检测淹没在混沌背景信号中的目标信号.实验结果表明海面背景图像信号具有一定的混沌特征,利用新方法能有效检测出海面背景下的舰船目标,检测结果优于基于统计分析的方法.
In order to detect the ship target in the background of the sea, the chaotic characteristics of the background signal in the presence of the target are analyzed, and a new target detection method based on the Lyapunov exponent of the image region is proposed. The new method defines the concept of the gray distance of the image, Wolf’s method extends the one-dimensional signal Lyapunov exponent extraction method to the image signal, and detects the target signal submerged in the chaotic background signal by using the change of the maximum gray distance Lyapunov exponent of the image region. The experimental results show that the background image signal on the sea surface has some chaotic characteristics , The new method can effectively detect the ship target in the sea background, the detection result is better than the method based on statistical analysis.