基于反对称二进小波的SAR图像海洋表面油膜检测方法

Zero-Antisymmetrical Dyadic Wavelet-Based Oil Spill Detection Method in SAR Images

海洋表面油膜检测是合成孔径雷达(SAR)很重要的应用领域之一。小波方法是近年来研究较多的图像边 缘检测方法。通常的SAR图像油膜检测采用高斯函数一阶导和二阶导作为小波基函数,运算速度慢;该文采用反 对称二进小波,利用小波变换多分辨率分析(MRA)思想,经多尺度综合得到油膜边缘图像。实验证明这是一种 有效、有前途的SAR图像海洋表面油膜检测方法。

Oil spill detection is one of the very important application fields in Synthetic Aperture Radar (SAR) images. Wavelet method is an edge detection method broadly researched in resent years. Normal oil spill detection uses the first and second derivatives of a Gaussian function as the basic wavelet function, which has slow computing speed. This paper utilizes zero-antisymmetrical dyadic wavelet, using multi-resolution analysis and multi-scale integration to get oil spill edge images. The results demonstrate that it is a useful and promising method for oil spill detection in SAR images.