Using the moving trapezoid body interpolation to reconstruct 3D meteorological radar image

Suqin Fang; Juncheng Ma; Murong Jiang

doi:10.1117/12.2604696

5 October 2021 Using the moving trapezoid body interpolation to reconstruct 3D meteorological radar image

Suqin Fang, Juncheng Ma, Murong Jiang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110E (2021) https://doi.org/10.1117/12.2604696
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

3D reconstruction of meteorological radar data is an important basis for the visualization of meteorological data, which can reflect the basic characteristics of atmospheric motion and the distribution of cloud space. Data collected by meteorological radar is distributed on the conical surface formed by body scanning and has the characteristics of the discrete, uneven and irregular distribution. When importing a 3D data field, data redundancy or loss is easily caused and calculation is complicated. In this paper, the trapezoid body is used as the calculation unit, the adaptive Barnes interpolation method is used to construct the 3D data field of the cone, different types of triangular patches are combined when the peer surface intersects the unit trapezoid body, through the correspondence of the vertices of the triangular facets of the trapezoid body of the adjacent unit solve the problem of loopholes in the connection of the trapezoid body. Experimental results show that this method can shorten the time to find and calculate the contour plane from the original data, and the reconstruction results can better reflect the atmospheric motion characteristics.

Citation Download Citation

Suqin Fang, Juncheng Ma, and Murong Jiang "Using the moving trapezoid body interpolation to reconstruct 3D meteorological radar image", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110E (5 October 2021); https://doi.org/10.1117/12.2604696

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KEYWORDS

Radar

Meteorology

Reconstruction algorithms

3D modeling

3D image reconstruction

Environmental sensing

3D image processing

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