Title :
3D regularized velocity from 3D Doppler radial velocity
Author :
Chen, X. ; Barron, J.L. ; Mercer, R.E. ; Joe, P.
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
fDate :
6/23/1905 12:00:00 AM
Abstract :
The availability of sequences of 3D Doppler radial velocity datasets provides sufficient information to estimate the 3D velocity of Doppler storms. We present a regularization framework for computing the 3D velocity field of storms from the underlying 3D radial velocities via an intermediate least squares computation. We obtain very realistic Doppler velocities, which can be used to estimate and predict the motion of Doppler storms. Such information is fundamental in the tracking of Doppler storms over time
Keywords :
Doppler radar; atmospheric movements; atmospheric techniques; geophysical signal processing; image sequences; least squares approximations; meteorological radar; motion estimation; radar imaging; radar tracking; remote sensing by radar; storms; 3D Doppler radial velocity; 3D regularized velocity; 3D velocity field; Doppler storms; intermediate least squares computation; radar; regularization framework; sequences; Doppler radar; Equations; Image motion analysis; Image sequences; Least squares methods; Motion estimation; Optical buffering; Optical computing; Reflectivity; Storms;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958206
