SAR图像中内波参数提取方法研究

海洋内波在星载SAR图像上表现为明显的亮、暗带 ,通过SAR图像分析可以提取其波长和传播方向参数。小波分析在频域和空域具有局部细化特性 ,在内波信号分析有很大的优势。在预处理阶段 ,二维小波分析软阈值方法可对图像进行噪声滤除。小波变换能量分布法与小波变换极大模值法估计内波波长各有特点 ,小波变换极大模值法估计波长精度较高。选用小波变换极大模值法对SAR图像剖视图进行分析 ,估计内波波长 ,并利用Radon变换方法检测内波的方向 ,取得了良好的结果

Study on the Internal Wave Characterization in SAR Image

Oceanic internal waves present bright and dark bands on the satellite SAR images, wavelength and direction parameters can be extracted by the SAR image analysis. Wavelet analysis provides a new strategy for examining internal wave signatures. In the pre processing phase, soft threshold method of two dimension wavelet analysis is used to denoise. Energy distribution and modulus maxima methods of wavelet transform are two methods of wavelength estimation, the result of the later method is more precise than the former. The paper uses the modulus maxima method to estimate the wavelength, and Randon transform to detemine the direction of the intemal waves, which the result is fine.