一个基于平稳小波变换的SAR内波检测方法

An approach of SAR Internal Wave Detection based on SWT

SAR图像数据量的激增,迫切要求一种自动的内波检测技术来代替传统的人工解译。基于此,本文提出一种基于平稳小波变换(SWT)的SAR图像内波检测方法,利用SWT对SAR内波图像进行分析处理,计算SWT系数的小波梯度信息,通过模极大值搜索方法进行内波边缘特征提取。最后通过南中国海东沙群岛观测的多幅SAR图像进行实验与分析,实验结果证明平稳小波变换对于SAR内波检测是有效的。

The sharp increase of SAR data challenged the traditional interpretation.An auto-detection method is to be eagerly introduced.This paper proposes SAR internal wave detection method based on SWT,analyzes the internal wave image,calculates the grads of the SWT factors,and then retrieves the edge attributes through the modular maximum method.In the end,using the SAR images of Dongsha Islands of the South China Sea,the experiments and analysis is implemented.The results show that SWT is effective for the SAR internal wave detection.