东南大学学报（自然科学版）Issue(z2)：316-319,4.DOI:10.3969/j.issn.1001-0505.2013.S2.021
卫星重力信息融合及区域似大地水准面精化应用
Application of satellite gravity information fusion to refine regional quasi-geoid
摘要
Abstract
In order to improve the precision and resolution of quasi-geoid in the region of lacking ground gravity data, the method of satellite gravity information fusion using neural network to refine regional quasi-geoid is proposed.The regional quasi-geoid is refined by fusing the gravity informa-tion of CHAMP ( challenging mini-satellite payload ) gravity field models at different periods and GPS/leveling, and then the precision of quasi-geoid is estimated.The results show that the satellite gravity information fusion can improve the precision of regional quasi-geoid from 0.470 2 m to 0.203 8 m, which verify that satellite gravity information fusion using neural network to refine re-gional quasi-geoid is effective.关键词
卫星重力信息/似大地水准面/高程异常/神经网络Key words
satellite gravity information/quasi-geoid/height anomaly/neural network分类
天文与地球科学引用本文复制引用
宋雷,陈晓华,胡伍生,王德宝,王牧龙..卫星重力信息融合及区域似大地水准面精化应用[J].东南大学学报（自然科学版）,2013,(z2):316-319,4.基金项目
交通运输部应用基础研究资助项目（2013319817120）、山东省中青年科学家奖励基金资助项目（BS2010SF019）． （）
