CAJ | 학술논문

重采样插值方法是气象信息处理领域研究的问题之一。针对气象遥感图像，介绍了基于地图投影坐标转换的直接重采样插值方法和间接重采样插值方法；针对气象格点场，介绍了双线性插值方法和贝塞尔插值方法。以气象业务中不同分辨率的气象卫星（FY2E和FY2D）遥感图像以及欧洲中期天气预报中心（ECMWF）降水预报场为例，分别对不同重采样插值方法进行了分析比较。结果表明：基于间接重采样的气象遥感图像最近邻点插值法的计算量小于邻点权重插值方法，而邻点权重插值方法的效果优于最近邻点插值方法；随着图像的分辨率提高，最近邻点插值法与邻点权重插值方法相比，计算量小的优势更加明显；对于高分辨率的气象遥感图像建议采用基于间接重采样的最近邻点法；对于气象格点场，贝塞尔插值方法的插值效果优于双线性插值方法。
중채양삽치방법시기상신식처리영역연구적문제지일。침대기상요감도상，개소료기우지도투영좌표전환적직접중채양삽치방법화간접중채양삽치방법；침대기상격점장，개소료쌍선성삽치방법화패새이삽치방법。이기상업무중불동분변솔적기상위성（FY2E화FY2D）요감도상이급구주중기천기예보중심（ECMWF）강수예보장위례，분별대불동중채양삽치방법진행료분석비교。결과표명：기우간접중채양적기상요감도상최근린점삽치법적계산량소우린점권중삽치방법，이린점권중삽치방법적효과우우최근린점삽치방법；수착도상적분변솔제고，최근린점삽치법여린점권중삽치방법상비，계산량소적우세경가명현；대우고분변솔적기상요감도상건의채용기우간접중채양적최근린점법；대우기상격점장，패새이삽치방법적삽치효과우우쌍선성삽치방법。
Resampling interpolation method is one of the problems in the field of meteorological information processing research. This paper introduces a direct and indirect resampling interpolation methods which are based on map projection coordinate conver-sion for the meteorological remote sensing images, and introduces bilinear interpolation method and Bessel interpolation method for the meteorological grid point field. Taking meteorological satellite(FY2E and FY2D)remote sensing images with different resolutions and ECMWF(European Centre for Medium-Range Weather Forecasts)precipitation forecast field for example, the paper analyzes different resampling interpolation methods. The results show that the calculation amount of the nearest neighbor algorithm is less than that of the weighted nearest neighbor algorithm based on indirect resampling method, while the weighted nearest neighbor algorithm can get better results than the nearest neighbor algorithm. With the improvement of resolution, the comparative advantage of calculation amount of the nearest neighbor algorithm is more obvious. The weighted nearest neighbor algorithm is more suitable for high-resolution meteorological remote sensing images. The results also show that Bessel interpolation algorithm is better than bilinear interpolation algorithm for the meteorological grid point field.