A comparison of filtering techniques for airborne gravimetry

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dc.contributor.advisorSchwarz, Klaus-Peter P.
dc.contributor.authorHammada, Youcef
dc.date.accessioned2005-07-29T21:35:35Z
dc.date.available2005-07-29T21:35:35Z
dc.date.issued1996
dc.descriptionBibliography: p. 99-103.en
dc.description.abstractThree different filtering techniques for the estimation of the gravity disturbance are theoretically outlined and numerically tested. The first approach, finite impulse response lowpass filtering, is a frequency domain method. The two other approaches, Kalman filtering and deterministic model filtering, are model based methods. An airborne gravity data set is used to compare these methods numerically. This comparison is based on an error measure, the root mean square error between the estimate and the reference. The reference is obtained by upward continuating a grid of surface free-air gravity anomalies and a terrain model. The lowpass filter provided the best estimation accuracy of the gravity disturbance and works equally well for any type of area. The deterministic model filter is better than the Kalman filter for smooth areas but is very sensitive to rapid changes of the gravity field. Kalman filtering requires an accurate covariance function of the gravity field of the flown area, and is very sensitive to its uncertainties.
dc.format.extentxv, 103 leaves ; 30 cm.en
dc.identifier.citationHammada, Y. (1996). A comparison of filtering techniques for airborne gravimetry (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/22591en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/22591
dc.identifier.isbn0612129144en
dc.identifier.lccQB 334 H36 1996en
dc.identifier.urihttp://hdl.handle.net/1880/29502
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccQB 334 H36 1996en
dc.subject.lcshGravity - Measurement
dc.subject.lcshKalman filtering
dc.titleA comparison of filtering techniques for airborne gravimetry
dc.typemaster thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1034 520538454
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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