DocumentCode :
693119
Title :
3D reconstruction of strong convective cell based on Doppler radar base data
Author :
Zhi-Ying Lu ; Xin Jin ; Chun-Yan Han
Author_Institution :
Dept. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Volume :
02
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
845
Lastpage :
849
Abstract :
Almost all researches are carried out in two-dimensional space in the field of meteorology. However these researches are in lack of intuitive traits and have a low degree of visualization. This work is dedicated to the researches on three-dimensional reconstruction of the strong convective cell. Firstly, the contours in correlated faultage were extracted from meteorological radar base data. Then they were sampled by chord sampling method proposed in this thesis. Secondly, the cells were modeled in three-dimensional space by the contours splicing algorithm based on optimization of line slope. Finally, the three-dimensional model reconstruction was rendered and displayed with OpenGL. There are some basic operations for the 3D model. The model can be rotated and scaled. At the same time, the cells can be shown completely and the state of the atmospheric environment is intuitional. The experiments show that the results of three-dimensional reconstruction confirm to the actual situation. Three-dimensional reconstruction of the strong convective cell is of great significance.
Keywords :
Doppler radar; image reconstruction; meteorological radar; radar imaging; 3D model; 3D reconstruction; Doppler radar base data; OpenGL; chord sampling method; contours splicing algorithm; meteorological radar base data; strong convective cell; three-dimensional model reconstruction; three-dimensional reconstruction; three-dimensional space; two-dimensional space; Abstracts; Doppler effect; Image reconstruction; Shape; Splicing; Surface reconstruction; Three-dimensional displays; Chord sampling method; Contours splicing algorithm; Faultage image; Three-dimensional reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890401
Filename :
6890401
Link To Document :
بازگشت