Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Fast Coordinate Conversion Method for Real-time Weather Radar Data Processing

  • Jang, Bong-Joo (Korea Institute of Civil Engineering and Building Technology) ;
  • Lim, Sanghun (Korea Institute of Civil Engineering and Building Technology) ;
  • Kim, Won (Korea Institute of Civil Engineering and Building Technology)
  • Received : 2018.03.07
  • Accepted : 2018.03.11
  • Published : 2018.03.30
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Abstract

The coordinate system conversion of weather radar data is a basic and important process because it can be a factor to measure the accuracy of radar precipitation rate by comparison with the ground rain gauge. We proposed a real-time coordinate system conversion method that combines the advantages of the interpolation masks of SPRINT and REORDER to use tables of predetermined radar samples for each interpolated object coordinate and also distance weights for each precomputed sample. Experimental results show that the proposed method improves the computation speed more than 20~30 times compared with the conventional method and shows that the deterioration of image quality is hardly ignored.

Keywords

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Fig. 1. Each interpolation mask used in the SPRINT andREORDER algorithms. (a) SPRINT algorithm [9], and (b)REORDER algorithm [10].

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Fig. 2. Example of interpolation masks application of SPRINTand REORDER algorithm in realistic coordinate system [9].

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Fig. 3. Example of applying SPRINT and REORDER from radardata [9].

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Fig. 4. Block diagram of the proposed method.

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Fig. 5. Examples of non-normalized radar data (raw data).

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Fig. 6. Ray normalization process and result example for primitive radar data, (a) the ray profile of the raw data ofFigure 5, (b) the result of the surplus ray filtering, and (c) the azimuthal rearrangement result.

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Fig. 7. (a) Normalized ray profile, (b) example of windowing forcoordinate system transformation to arbitrary positions in the realcoordinate system, and (c) radar image with coordinate systemconversion.

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Fig. 8. Example of the same lookup table application for radars with different observation radii.

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Fig. 9. Example of allowing only the calculation area for the watershed to be handled when given watershedinformation.

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Fig. 10. The result of the coordinate system transformation of theradar data by the proposed method is as follows: (a) As a result ofcalculating weights for all coordinate points, (b) as a result ofapplying the LUT mask, and (c) errors by the azimuthnormalization sampling process.

Table 1. Processing speed of the proposed method using look-up table mask and not.

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References

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