基于二维连续小波变换的SAR图像海洋现象特征检测

Detection of Ocean Features in SAR Images with 2D Continuous Wavelet Power Spectrum

本文对合成孔径雷达(SAR)图像中存在的多种海洋现象,如内波,海洋锋等进行讨论,提出了一种基于二维连续小波变换及能谱思想的新的海洋现象检测方法.针对各种海洋现象在SAR中反映出来的海浪波形的不同,采用不同的连续小波变换基提取SAR图像中五种典型的海洋现象.通过大量试验,证实了该方法在多种海洋现象的定位检测中的有效性.

The ocean features,i.e.,internal waves,ocean fronts,present in SAR（synthetic aperture radar） images are discussed.A new detection method,the two dimensional（2D） continuous wavelet power spectrum,which is based on the two dimensional（2D） continuous wavelet transform and the idea of power spectrum,is proposed.According to the wave difference of the ocean features,we use three different wavelets to extract five typical kinds of ocean features namely the internal waves,the ocean fronts,the ocean eddies,the ship wakes and the wind waves in the SAR images.The experimental results demonstrate that this algorithm＇s utility in the localization of various ocean features.