用小波分析反演星载SAR图像海面风向

张雷; 石汉青; 杜华栋; 陈宪; 杜海龙

doi:10.11834/jrs.20133040

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专辑

用小波分析反演星载SAR图像海面风向
Estimation of sea surface wind direction using spaceborne SAR images and wavelet analysis
2014年18卷第1期页码：215-230
纸质出版：2014
DOI： 10.11834/jrs.20133040
稿件说明：

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[1]张雷,石汉青,杜华栋,陈宪,杜海龙.用小波分析反演星载SAR图像海面风向[J].遥感学报,2014,18(01):215-230. DOI： 10.11834/jrs.20133040.

ZHANG Lei, SHI Hanqing, DU Huadong, et al. Estimation of sea surface wind direction using spaceborne SAR images and wavelet analysis[J]. Journal of Remote Sensing, 2014, 18(1): 215-230. DOI： 10.11834/jrs.20133040.

摘要

为更好地利用合成孔径雷达SAR图像本身的风条纹信息来反演高精度的海面风向

采用不同模式、不同极化方式的星载ASAR图像

基于抽样小波变换结合快速傅里叶变换的方法反演海面风向

同时将该方法反演的结果与传统的傅里叶变换法和改进的局部梯度法反演的结果进行了对比。结果表明

抽样小波变换应用于海面风向的反演是可行的

反演的风向精度优于传统的傅里叶变换法和改进的局部梯度法。ASAR不同模式、不同极化方式的数据反演结果存在着一定的差异。

Abstract

To make better use of wind streak information from Synthetic Aperture Radar（ SAR） images used in turn to obtain high-precision sea surface wind fields

wind direction is retrieved using decimated wavelet transform associated with two-dimensional Fast Fourier Transform（ FFT） with different modes and Advanced Synthetic Aperture Radar（ ASAR） images of various p olarizations. Finally

the resulting wind direction is compared with those obtained using traditional FFT and the i mproved local gradient method. The results demonstrate the feasibility of applying the wavelet transform algorithm to sea surface wind direction inversion. Multi-resolution analysis of ASAR images with time-frequency window of wavelet transform enables more precise determination of wind direction compared with traditional Fast Fourier transform and improved local gradient method. In addition

the inversion results contain certain differences in diverse modes and various polarization data.