On the gravimetric inverse problem in geodetic gravity field estimation

Doufexopoulou, MG; Korakitis, R

dc.contributor.author	Doufexopoulou, MG	en
dc.contributor.author	Korakitis, R	en
dc.date.accessioned	2014-03-01T01:13:14Z
dc.date.available	2014-03-01T01:13:14Z
dc.date.issued	1997	en
dc.identifier.issn	0949-7714	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12382
dc.subject	Inverse Problem	en
dc.subject	Least Square	en
dc.subject	Prior Information	en
dc.subject.classification	Geochemistry & Geophysics	en
dc.subject.classification	Remote Sensing	en
dc.subject.other	geodesy	en
dc.subject.other	geodetic measurement	en
dc.subject.other	gravimetry	en
dc.subject.other	gravity field	en
dc.subject.other	inverse problem	en
dc.subject.other	universe problem	en
dc.title	On the gravimetric inverse problem in geodetic gravity field estimation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s001900050099	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s001900050099	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	Gravity field estimation in geodesy, through linear(ized) least squares algorithms, operates under the assumption of Gaussian statistics for the estimable part of preselected models. The causal nature of the gravity field is implicitly involved in its geodetic estimation and introduces the need to include prior model information, as in geophysical inverse problems. Within the geodetic concept of stochastic estimation, the prior information can be in linear form only, meaning that only data linearly depending on the estimates can be used effectively. The consequences of the inverse gravimetric problem in geodetic gravity field estimation are discussed in the context of the various approaches (in model data spaces) which have the common goal to bring into agreement the statistics between these two spaces. With a simple numerical example of FAA prediction, it is shown that prior information affects the accuracy of estimates at least equally as the number of input data.	en
heal.publisher	SPRINGER VERLAG	en
heal.journalName	Journal of Geodesy	en
dc.identifier.doi	10.1007/s001900050099	en
dc.identifier.isi	ISI:A1997XE72800001	en
dc.identifier.volume	71	en
dc.identifier.issue	6	en
dc.identifier.spage	311	en
dc.identifier.epage	319	en