Abstract
3D image reconstruction for weather radar data can not only help the weatherman to improve the forecast efficiency and accuracy, but also help people to understand the weather conditions easily and quickly. Marching Cubes (MC) algorithm in the surface rendering has more excellent applicability in 3D reconstruction for the slice images; it may shorten the time to find and calculate the isosurface from raw volume data, reflect the shape structure more accurately. In this paper, we discuss a method to reconstruct the 3D weather cloud image by using the proposed Cube Weighting Interpolation (CWI) and MC algorithm. Firstly, we detail the steps of CWI, apply it to project the raw radar data into the cubes and obtain the equally spaced cloud slice images, then employ MC algorithm to draw the isosurface. Some experiments show that our method has a good effect and simple operation, which may provide an intuitive and effective reference for realizing the 3D surface reconstruction and meteorological image stereo visualization.
Highlights
In recent years, most of the meteorological radar products are still expression by using two-dimensional data structure to represent three-dimensional cloud state
We detail the steps of Cube Weighting Interpolation (CWI), apply it to project the raw radar data into the cubes and obtain the spaced cloud slice images, employ Marching Cubes (MC) algorithm to draw the isosurface
Some experiments show that our method has a good effect and simple operation, which may provide an intuitive and effective reference for realizing the 3D surface reconstruction and meteorological image stereo visualization
Summary
Most of the meteorological radar products are still expression by using two-dimensional data structure to represent three-dimensional cloud state. One is known as the surface drawing method, which approached through the geometric unit splicing fitting surface to describe the object three-dimensional structure, the classical algorithms including Marching Cubes (MC), Marching Tetrahedral and Dividing Cubes, etc.; another is called the volume rendering method based on the volume data, it projected directly the voxel into the display plane, the classic algorithms have: light projection, projection imaging and Frequency domain transform method. The commonality of these algorithms is that using many triangular patches to fit the equivalent surfaces, with the advantage that hardware acceleration can be achieved when rendering some 3D reconstructed images [4]-[9]. We need to establish the 3D data field because the weather radar data are not the equidistant slice images data, use the MC algorithm to reconstruct the 3D cloud image of the weather radar, and realize the stereo visualization of the two-dimensional meteorological data
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