太原理工大学学报2013，Vol.44Issue(4)：496-500,5.
遥感图像几何精纠正中更为有效的稳健估计方法
More Effective Robust Estimation Methods in the Geometric Exact Rectification of Remote Sensing Image
摘要
Abstract
Geometric exact rectification is one of the most important steps for remote sensing image processing,and the most useful math way is least square method.Under the conditions of gross error,which is unavoidable in the observed values,the results by using least square method are largely affected,but robust estimation method can effectively eliminate or weaken the influences of outliers.However,different robust estimation methods have different abilities to eliminate or weaken the influences of outliers.Through simulation experiments,which were based on the illustrations of geometric exact rectification including different numbers of observations,different numbers of gross errors and different values of gross errors as examples,the abilities of 13commonly used robust estimation methods to eliminate or weaken the influences of outliers were compared.The simulation experiment shows that L1 method and German-McClure method were more effective robust estimation methods in the geometric fine rectification of remote sensing image.关键词
几何纠正/几何精纠正/稳健估计Key words
geometric rectification/ geometric exact rectification/ robust estimation methods分类
天文与地球科学引用本文复制引用
丁娟,葛永慧..遥感图像几何精纠正中更为有效的稳健估计方法[J].太原理工大学学报,2013,44(4):496-500,5.基金项目
国家自然科学基金资助项目(51174142) （51174142）
山西省自然科学基金资助项目(2012011015-2) （2012011015-2）
