The Data for : Machine Learning Algorithm for SAR Wave Spectrum Retrieval in the Arctic Ocean

This data is used for XGBoost training and consists of 8 columns, with each column corresponding to a data parameter. The model is located in the platform titled The Model for : Machine Learning Algorithm for SAR Wave Spectrum Retrieval in the Arctic Ocean. Among these, The first feature is the one-dimensional SAR intensity spectrum, the second feature is tilt modulation , the third and fourth features are the real and imaginary parts of velocity bunching modulation, and the fifth and sixth features are the real and imaginary parts of hydrodynamic modulation, the seventh feature is the wavenumber, and the eighth column is the ground truth value.本数据集用于XGBoost模型训练，共包含8列数据，每一列对应一个数据参数。该模型隶属于标题为《北极海洋合成孔径雷达（Synthetic Aperture Radar，SAR）海浪谱反演机器学习算法》的平台。其中，第一特征为一维SAR强度谱；第二特征为倾斜调制；第三、第四特征分别为速度聚束调制的实部与虚部；第五、第六特征分别为水动力调制的实部与虚部；第七特征为波数；第八列为真实标签值。