为提高应用X波段导航雷达反演海面风向的适用性和精度,针对现有局部梯度法反演海面风向存在无法自动寻找到合适的缩减图像分辨率,导致风向反演结果不稳定的问题,提出基于波数能量谱的海面风向反演算法.首先,应用风场成像特征,将包含风条纹的海面静态特征提取出来;其次,应用二维离散傅里叶变换获得海面静态特征的能量谱;最后,利用风条纹尺度特性,构建波数能量谱带通滤波器,将风条纹能量谱提取出来,从而得到海面风向.通过实验将本文算法、局部梯度法与风向标实测数据比较分析,表明本文算法反演适用性达到99%,反演精度提高了58.97%. In order to improve the applicability and accuracy of X-band navigation radar to invert the wind direction of the sea surface, aiming at the problem that the current local gradient method can not automatically find the resolution of the reduced image and inverse the wind direction inversion result, Based on the wavenumber energy spectrum of the sea surface wind direction inversion algorithm, firstly, the wind field imaging features are used to extract the static characteristics of the sea surface including the wind stripe; Secondly, the energy spectrum of the static characteristics of the sea surface is obtained by using the two-dimensional discrete Fourier transform; Based on the characteristics of the wind stripe scale, a wave number energy spectrum band-pass filter is constructed and the energy spectrum of the wind stripe is extracted to obtain the wind direction of the sea surface.Through comparative analysis of the measured data from the local gradient method and the wind vane by experiments, The performance reached 99%, and the inversion accuracy increased by 58.97%.