Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kamal Parvazi"'
Publikováno v:
Geodesy and Geodynamics, Vol 14, Iss 5, Pp 521-540 (2023)
Stochastic models play an important role in achieving high accuracy in positioning, the ideal estimator in the least-squares (LS) can be obtained only by using the suitable stochastic model. This study investigates the role of variance component esti
Externí odkaz:
https://doaj.org/article/2b2e79923b0a477bb810191c458bf944
Publikováno v:
International Journal of Maritime Technology, Vol 13, Iss Winter and Spring 2020, Pp 41-49 (2020)
To extract valid results from time series analysis of tides observations, noise reduction is vital. This study aimed to use a precise statistical model to investigate noise types. Noise component amplitude of the proposed model was studied by Least S
Externí odkaz:
https://doaj.org/article/10e9d15976de48d587047b4c9647df20
Publikováno v:
Applied Geomatics. 14:267-286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8bf216a2abba6233c961f869c86f46b
https://doi.org/10.1007/s12518-022-00432-4
https://doi.org/10.1007/s12518-022-00432-4
Publikováno v:
GPS Solutions. 27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e90ff95165fd360682df4023e71188c6
https://doi.org/10.1007/s10291-023-01416-6
https://doi.org/10.1007/s10291-023-01416-6
Publikováno v:
Earth Science Informatics. 14:1633-1645
Exploiting the reflected signals from the surface of the Earth to provide information about the reflecting surface is the primary concept of GNSS Interferometric Reflectometry (GNSS-IR). One of the most common usages of GNSS-IR is the estimation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::906f252aad829356a482d687eba57c93
https://doi.org/10.1007/s12145-021-00637-y
https://doi.org/10.1007/s12145-021-00637-y
Autor:
Kamal Parvazi, Saeed Farzaneh
Publikováno v:
Earth Science Informatics. 14:1665-1678
Today, satellite altimetry is capable of observing the instantaneous sea level and is regarded as a standard tool in the study of waters level variations on both regional and global scales. In this research, we have introduced a software package unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ebb6e8a8c6faa90b223886c568cc42e
https://doi.org/10.1007/s12145-021-00585-7
https://doi.org/10.1007/s12145-021-00585-7
Publikováno v:
IGARSS
Using a coastal Global Navigation Satellite System (GNSS) station, one can measure sea surface height (SSH) using GNSS Interferometric Reflectometry (GNSS-IR) technique as it gives vertical distance between the antenna and the reflective surface in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72475d761974c1052d72997c41024159
https://doi.org/10.1109/igarss47720.2021.9554876
https://doi.org/10.1109/igarss47720.2021.9554876
Publikováno v:
Journal of Geospatial Information Technology. 7:211-224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25ccb5ec5da2cf94f498e28e833d0acb
https://doi.org/10.29252/jgit.7.1.211
https://doi.org/10.29252/jgit.7.1.211
Publikováno v:
Journal of Surveying Engineering. 147
Several least-squares adjustment techniques were tested for dam deformation analysis. Deformation monitoring had only been studied horizontally. Simulated observations were first performed ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e986c45e8876fb99e3149bca574654
https://doi.org/10.1061/(asce)su.1943-5428.0000339
https://doi.org/10.1061/(asce)su.1943-5428.0000339
Publikováno v:
Measurement. 165:108073
We present a method for PPP adjustment based on Recursive Least Square Estimation (RLSE). This method estimates the stochastic model of GPS, GLONASS, Galileo and BeiDou observations by using RLS-Variance Components Estimation (RLS-VCE). The accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e6cb6a43dbe0af773c2a802a2dc499
https://doi.org/10.1016/j.measurement.2020.108073
https://doi.org/10.1016/j.measurement.2020.108073