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Procedural City Model using Multi-source Parameter Estimation
Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management
◽
10.5220/0005466602330238
◽
2015
◽
Cited By ~ 1
Author(s):
Cornelis Stal
◽
Britt Lonneville
◽
Philippe De Maeyer
◽
Annelies Vandenbulcke
◽
Mieke Paelinck
◽
...
Keyword(s):
Parameter Estimation
◽
Source Parameter
◽
City Model
Download Full-text
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References
Local homogeneity of potential fields and fractional homogeneous functions: a new theory for improved source parameter estimation.
10.1190/segam2012-1169.1
◽
2012
◽
Cited By ~ 1
Author(s):
Maurizio Fedi
◽
Giovanni Florio
◽
Valeria Paoletti
Keyword(s):
Parameter Estimation
◽
Source Parameter
◽
Potential Fields
◽
Local Homogeneity
◽
Homogeneous Functions
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MHODE: a local-homogeneity theory for improved source-parameter estimation of potential fields
Geophysical Journal International
◽
10.1093/gji/ggv185
◽
2015
◽
Vol 202
(2)
◽
pp. 887-900
◽
Cited By ~ 14
Author(s):
Maurizio Fedi
◽
Giovanni Florio
◽
Valeria Paoletti
Keyword(s):
Parameter Estimation
◽
Source Parameter
◽
Potential Fields
◽
Local Homogeneity
Download Full-text
An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere
IEEE Access
◽
10.1109/access.2019.2935308
◽
2019
◽
Vol 7
◽
pp. 111923-111930
◽
Cited By ~ 4
Author(s):
Denglong Ma
◽
Jianmin Gao
◽
Zaoxiao Zhang
◽
Qingsheng Wang
Keyword(s):
Parameter Estimation
◽
Firefly Algorithm
◽
Emission Source
◽
Source Parameter
◽
Gas Emission
◽
Improved Firefly Algorithm
Download Full-text
Neuromagnetic source parameter estimation of MEG inverse problem by a synthetic nonlinear optimization method
IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions
◽
10.1109/icccas.2002.1179006
◽
2003
◽
Author(s):
Jing Hu
◽
Jie Hu
Keyword(s):
Inverse Problem
◽
Parameter Estimation
◽
Nonlinear Optimization
◽
Optimization Method
◽
Source Parameter
◽
Meg Inverse Problem
◽
Nonlinear Optimization Method
Download Full-text
Source-parameter estimation by approximate maximum likelihood and nonlinear regression
IEEE Journal of Oceanic Engineering
◽
10.1109/joe.1985.1145098
◽
1985
◽
Vol 10
(3)
◽
pp. 206-212
◽
Cited By ~ 28
Author(s):
J. Bohme
Keyword(s):
Parameter Estimation
◽
Maximum Likelihood
◽
Nonlinear Regression
◽
Source Parameter
◽
Approximate Maximum Likelihood
Download Full-text
Waveform-based source-parameter estimation for elastic full-waveform inversion
10.1190/segam2018-2998588.1
◽
2018
◽
Keyword(s):
Parameter Estimation
◽
Waveform Inversion
◽
Source Parameter
◽
Full Waveform Inversion
◽
Full Waveform
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Earthquake source-parameter estimation using regional waveforms: Implications for tsunami alerting in the Caribbean
Geophysical Research Letters
◽
10.1029/2005gl024435
◽
2005
◽
Vol 32
(24)
◽
Cited By ~ 2
Author(s):
C. Mendoza
Keyword(s):
Parameter Estimation
◽
Earthquake Source
◽
Source Parameter
◽
The Caribbean
Download Full-text
Random arrays for source parameter estimation
Electronics Letters
◽
10.1049/el:19760494
◽
1976
◽
Vol 12
(24)
◽
pp. 643
◽
Cited By ~ 1
Author(s):
M. Donvito
◽
S.A. Kassam
Keyword(s):
Parameter Estimation
◽
Source Parameter
◽
Random Arrays
Download Full-text
A robust and efficient algorithm for source parameter estimation
1995 International Conference on Acoustics, Speech, and Signal Processing
◽
10.1109/icassp.1995.478491
◽
2002
◽
Cited By ~ 1
Author(s):
F. Gersemsky
◽
B. Yang
Keyword(s):
Parameter Estimation
◽
Efficient Algorithm
◽
Source Parameter
Download Full-text
Rao–Blackwell dimension reduction applied to hazardous source parameter estimation
Signal Processing
◽
10.1016/j.sigpro.2016.10.005
◽
2017
◽
Vol 132
◽
pp. 177-182
◽
Cited By ~ 9
Author(s):
Branko Ristic
◽
Ajith Gunatilaka
◽
Yan Wang
Keyword(s):
Parameter Estimation
◽
Dimension Reduction
◽
Source Parameter
Download Full-text
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