Automatic detection and correction algorithms for magnetic saturation in the SMFT/HSOS longitudinal magnetograms

A longitudinal magnetic field often suffers the saturation effect in a strong magnetic field region when the measurement is performed at a single-wavelength point and linear calibration is adopted.In this study,we develop a method that can judge the threshold of saturation in Stokes V/I observed by the Solar Magnetic Field Telescope(SMFT)and correct it automatically.The procedure is to first perform the second-order polynomial fit to the Stokes V/I vs.I/I_m(I_m is the maximum value of Stokes I)curve to estimate the threshold of saturation,then reconstruct Stokes V/I in a strong field region to correct for saturation.The algorithm is demonstrated to be effective by comparing with the magnetograms obtained by the Helioseismic and Magnetic Imager(HMI).The accuracy rate of detection and correction for saturation is~99.4%and~88%respectively among 175 active regions.The advantages and disadvantages of the algorithm are discussed.     

基于尺度不变特征点匹配的太阳磁场图像配准与定位方法

不同太阳观测站间存在观测时间、观测范围、观测设备等差异,为了方便科学研究,有必要找到不同观测站间太阳图像自动配准与定位的方法。提出了基于尺度不变特征点匹配的太阳磁场图像配准与定位方法。首先,对原始图像进行对比度增强、降采样等预处理;其次,采用尺度不变特征检测算法提取两图的尺度不变特征点;然后,寻找同名点的方法对两幅图像特征点进行粗配准和粗定位;最后,基于粗定位区域实现太阳磁场图像的精确配准和定位。开展了不同时段磁场图像的配准和定位实验,对匹配点对数、匹配准确率、匹配误差等参数进行了定量分析,实验结果表明,该方法可以自动、准确、快速地实现太阳磁场图像的配准与定位。