• DocumentCode
    2138906
  • Title

    Vector reconstruction and mosaicing from multiple Doppler weather radar velocity data

  • Author

    Mahapatra, Pravas R. ; Makkapati, Vishnu V.

  • Author_Institution
    Dept. of Aerosp. Eng., Indian Inst. of Sci., Bangalore
  • Volume
    6
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3868
  • Abstract
    Radial velocity data from two or more Doppler weather radars are commonly combined to obtain the vector or true velocity of winds at a given location. This paper proposes a novel scheme for combining scalar and vector data from multiple radars. The number of overlapping radars at a point is automatically determined. The data combining algorithm (2D, 3D, or least-squares) is automatically determined from the number of overlapping radars. The use of latitude-longitude grid results in a universal grid presentation. A variable (user-definable) box-averaging method of vector representation is adopted and vector fields are depicted as fields of arrows. A novel method is adopted for handling boxes lying on boundaries of overlapping radar zones
  • Keywords
    Doppler radar; atmospheric techniques; geophysical signal processing; image reconstruction; image segmentation; meteorological radar; remote sensing by radar; vector quantisation; wind; 2D data; 3D data; Doppler weather radar; box-averaging method; data combining algorithm; image mosaicing; latitude-longitude grid; least-squares; overlapping radar zones; radial velocity data; scalar data; universal grid presentation; vector fields; vector reconstruction; vector representation; wind velocity; Doppler radar; Equations; Image converters; Image reconstruction; Meteorological radar; Radar imaging; Reflectivity; Spatial resolution; Surface reconstruction; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369968
  • Filename
    1369968