Estimation of three-dimensional surface motion velocities using integration of DInSAR and GPS

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海岛海岸带研究中心

	Estimation of three-dimensional surface motion velocities using integration of DInSAR and GPS
	Luo, Hai-Bin 1; He, Xiu-Feng 1; Liu, Yan-Xiong 2
刊名	Cehui Xuebao/Acta Geodaetica et Cartographica Sinica
	2008-05-01
卷号	37 期号:2 页码:168-171
ISSN号	10011595
英文摘要	A revised method for derivation of three dimensional surface motions mapping from sparse GPS measurements and a DInSAR interferogram based on the investigation of Analytical Optimization Method (AOM) is proposed, which makes use of random field theory and Gibbs-Markov random fields within Bayesian statistical framework. Using the high accurate horizontal velocity derived from GPS as constrain, the proposed method, called the Directly Decomposing Method (DDM), can obtain accurate vertical velocity from the line of sight velocity of DInSAR. The DDM overcomes the numerical instability problem of the AOM and is simpler in realization. The results of inverse computer modeling are presented and show a drastic improvement of accuracy in vertical direction.
语种	中文
出版者	SinoMaps Press, 50 Sanlihe Road, Fuwai, Beijing, 100045, China
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/6934]
专题	业务部门_海岛海岸带研究中心
作者单位	1.Institute of Satellite Navigation and Spatial Information System, Hohai University, Nanjing 210098, China; 2.Center of Ocean Mapping and Engineering Information, The First Institute of Oceanography, SOA, Qingdao 266061, China
推荐引用方式 GB/T 7714	Luo, Hai-Bin,He, Xiu-Feng,Liu, Yan-Xiong. Estimation of three-dimensional surface motion velocities using integration of DInSAR and GPS[J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,2008,37(2):168-171.
APA	Luo, Hai-Bin,He, Xiu-Feng,&Liu, Yan-Xiong.(2008).Estimation of three-dimensional surface motion velocities using integration of DInSAR and GPS.Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,37(2),168-171.
MLA	Luo, Hai-Bin,et al."Estimation of three-dimensional surface motion velocities using integration of DInSAR and GPS".Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 37.2(2008):168-171.