卫星重力梯度测量数据的粗差探测  

Outlier Detection of Satellite Gravity Gradiometry Data

作　　者：罗志才[1,2,3] 周波阳[1] 钟波[1,2] 吴怿昊[1] 

机构地区：[1]武汉大学测绘学院,武汉市珞喻路129号430079 [2]武汉大学地球空间环境与大地测量教育部重点实验室,武汉市珞喻路129号430079 [3]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2012年第12期1392-1396,共5页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(41131067;40874002;41104014);国家863计划资助项目(2008AA12Z105)

摘　　要：分别讨论了阈值法、Dixon检验法和小波算法应用于卫星重力梯度数据粗差探测的效果。为了克服这3种单一粗差探测方法的不足,提出了卫星重力梯度数据的粗差探测组合方案,即联合Dixon检验和小波算法,以及联合Dixon检验、阈值法和小波算法的组合方案。模拟结果表明,两种组合方案均能有效改善粗差探测的效果。Outlier detection is one of the key processes to data preprocessing of satellite gravi- ty gradiometry （SGG）, and its objective is to obtain high quality SGG data. The perform- ance of thresholding, Dixon test and wavelet algorithm was discussed in the outlier detection of SGG data. And two combined schemes were presented to overcome some deficiencies of these three methods, namely the combination o~ Dixon test and wavelet algorithm, and that of Dixon test, thresholding and wavelet algorithm. The simulation results show that both the two combined schemes can improve the quality of outlier detection effectively.

关 键 词：卫星重力梯度测量 粗差探测 组合方案 阈值法 Dixon检验 小波算法 

分 类 号：P223.6[天文地球—大地测量学与测量工程]