We present local least squares and regularization frameworks for computing 3D velocity (3D optical flow) from 3D radial velocity measured by a Doppler radar. We demonstrate the performance of our algorithms quantitatively on synthetic radial velocity data and qualitatively on real radial velocity data, obtained from the Doppler radar at Kurnell Radar station, Botany Bay, New South Wales, Australia. Radial velocity can be used to predict the future positions of storms in sequences of Doppler radar datasets.
%0 Journal Article
%1 barron2005velocity
%A Barron, John L.
%A Mercer, Robert E.
%A Chen, X.
%A Joe, P.
%D 2005
%J International Journal of Imaging Systems and Technology
%K 3D Doppler Radial Velocity;3D flow;local least optical squares;regularization
%N 3
%P 189--198
%R 10.1002/ima.20048
%T 3D velocity from 3D Doppler radial velocity
%U http://onlinelibrary.wiley.com/store/10.1002/ima.20048/asset/20048_ftp.pdf?v=1&t=ioxzxba1&s=e1c2e5d579b2b7a01cd56a35302cbd2613efc21f
%V 15
%X We present local least squares and regularization frameworks for computing 3D velocity (3D optical flow) from 3D radial velocity measured by a Doppler radar. We demonstrate the performance of our algorithms quantitatively on synthetic radial velocity data and qualitatively on real radial velocity data, obtained from the Doppler radar at Kurnell Radar station, Botany Bay, New South Wales, Australia. Radial velocity can be used to predict the future positions of storms in sequences of Doppler radar datasets.
@article{barron2005velocity,
abstract = {We present local least squares and regularization frameworks for computing 3D velocity (3D optical flow) from 3D radial velocity measured by a Doppler radar. We demonstrate the performance of our algorithms quantitatively on synthetic radial velocity data and qualitatively on real radial velocity data, obtained from the Doppler radar at Kurnell Radar station, Botany Bay, New South Wales, Australia. Radial velocity can be used to predict the future positions of storms in sequences of Doppler radar datasets.},
added-at = {2018-07-01T13:42:06.000+0200},
author = {Barron, John L. and Mercer, Robert E. and Chen, X. and Joe, P.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23b582a9be8bb2ab75b0cf752754ba86e/mwigger},
doi = {\url{10.1002/ima.20048}},
interhash = {45118ea66d5e3db22d30482a10d71fac},
intrahash = {3b582a9be8bb2ab75b0cf752754ba86e},
issn = {0899-9457},
journal = {International Journal of Imaging Systems and Technology},
keywords = {3D Doppler Radial Velocity;3D flow;local least optical squares;regularization},
number = 3,
pages = {189--198},
timestamp = {2018-09-14T09:59:55.000+0200},
title = {3D velocity from 3D Doppler radial velocity},
url = {http://onlinelibrary.wiley.com/store/10.1002/ima.20048/asset/20048_ftp.pdf?v=1&t=ioxzxba1&s=e1c2e5d579b2b7a01cd56a35302cbd2613efc21f},
urldate = {02.06.2016},
volume = 15,
year = 2005
}
