全球地表覆盖遥感制图与关键技术研究项目要求对两个基准年度（2000年，2010年）的全球覆盖30 m分辨率遥感数据进行辐射处理，转换到地表反射率，数据以Landsat TM/ETM+为主，HJ-1A/B CCD数据为补充。海量数据中有些不适宜进行绝对大气校正，为了保证全球覆盖，对这些数据设计开发了一套自动的相对辐射处理及精度验证流程算法，利用相邻数据重叠区域进行相对辐射校正的方式，将数据由Oigital Number（DN）值直接转换为地表反射率，精度验证以MODIS地表反射率产品MOD09GA作为参考，比较对应波段数据的相对一致性，算法采用了图像分块处理技术及OpenMP加速技术提高效率，实际应用结果表明该算法流程可以满足项目对辐射处理精度、速度及自动化程度的要求。

"Higher Resolution Global Land Cover Mapping"program requires the radiometric normalization of two sets of base-year (2000,2010) global coverage 30 m resolution remote sensing data. All data must be converted from Digital Number (DN) values to surface reflectance. Landsat TM/ETM+ and HJ-1A/B CCD data are used in this study. A number of these data are not suitable for absolute atmospheric correction. To ensure the global coverage of these data, we have designed an algorithm for automatic relative radiometric normalization and accuracy verification. By using overlapping areas of the adjacent data, the data are converted directly from DN values to surface reflectance by means of relative radiometric correction. The MODIS surface reflectance product (MOD09GA) is used as reference data, and the relative consistency of the corresponding bands is measured. Image block processing and OpenMP acceleration technologies are used to improve the efficiency of the algorithm. Practical application shows that our algorithm can meet the projected radiometric normalization accuracy, speed, and automation requirements.