Zobrazeno 1 - 9
of 9
pro vyhledávání: '"A. R. Amiri-Simkooei"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 531-536 (2017)
Geodetic data processing is usually performed by the least squares (LS) adjustment method. There are two different forms for the LS adjustment, namely the batch form and recursive form. The former is not an appropriate method for real time applicatio
Externí odkaz:
https://doaj.org/article/2a6b30080bf2493a8832fc913565b345
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W5, Pp 755-761 (2015)
High-precision GPS positioning requires a realistic stochastic model of observables. A realistic GPS stochastic model of observables should take into account different variances for different observation types, correlations among different observable
Externí odkaz:
https://doaj.org/article/fcea0bd1d5944ccaa7e844722422f4a8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W5, Pp 441-445 (2015)
NRTK1 is an efficient method to achieve precise real time positioning from GNSS measurements. In this paper we attempt to improve NRTK algorithm by introducing a new strategy. In this strategy a precise relocation of master station observations is pe
Externí odkaz:
https://doaj.org/article/c40735b5c6d84844ac16bc039c9eb021
Tikhonov-regularized weighted total least squares formulation with applications to geodetic problems
Publikováno v:
Acta Geodaetica et Geophysica. 57:23-42
This contribution presents the Tikhonov regularized weighted total least squares (TRWTLS) solution in an errors-in-variables (EIV) model. The previous attempts had solved this problem based on the hybrid approximation solution (HAPS) within a nonline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30324e857c9b02491990046304313f0d
https://doi.org/10.1007/s40328-021-00365-1
https://doi.org/10.1007/s40328-021-00365-1
Publikováno v:
Survey Review. 45:92-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28edca89a408d35bd1e2725c8858554b
https://doi.org/10.1080/17522706.2013.12287490
https://doi.org/10.1080/17522706.2013.12287490
Principal Component Analysis of Single-Beam Echo-Sounder Signal Features for Seafloor Classification
Publikováno v:
IEEE Journal of Oceanic Engineering. 36:259-272
Acoustic remote sensing is a useful tool for seafloor characterization. This contribution presents the results of seafloor sediment classification using single-beam echo-sounder (SBES) data based on a phenomenological method. Basic concepts of princi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3472123463c63aadfe61cc2dceed3767
https://doi.org/10.1109/joe.2011.2122630
https://doi.org/10.1109/joe.2011.2122630
Publikováno v:
IEEE Journal of Oceanic Engineering, 35 (4), 2010
Seafloor classification using acoustic remote sensing techniques is an attractive approach due to its high coverage capabilities and limited costs compared to taking samples of the seafloor. This paper focuses on the characterization of sediments in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81f63b5cb1b0b9a84c36da3045f34e52
http://resolver.tudelft.nl/uuid:cb10205a-a3e1-4599-a4d6-c81d1e9e7f7e
http://resolver.tudelft.nl/uuid:cb10205a-a3e1-4599-a4d6-c81d1e9e7f7e
Publikováno v:
IEEE Journal of Oceanic Engineering. 38:204-205
In the paper published in the IEEE Journal of Oceanic Engineering, vol. 36, no. 2, pp. 259-271, Apr. 2011, results of applying a feature-based classification technique to single-beam echo-sounder data were presented. Comments on this contribution wer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aedfcaffb10ffef132abcf07b6d10c9
https://doi.org/10.1109/joe.2012.2226657
https://doi.org/10.1109/joe.2012.2226657
Autor:
Alireza R. Amiri-Simkooei, Leo Koop, Karin J. van der Reijden, Mirjam Snellen, Dick G. Simons
Publikováno v:
Geosciences, Vol 9, Iss 7, p 292 (2019)
Seafloor characterization using multibeam echosounder (MBES) backscatter data is an active field of research. The observed backscatter curve (OBC) is used in an inversion algorithm with available physics-based models to determine the seafloor geoacou
Externí odkaz:
https://doaj.org/article/c1c2fa980127495a84258916e86d7f54