Volume 29 Issue 6
Jun.  2004
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WU Fan. Scaleless Representations for Polyline Spatial Data Based on Wavelet Analysis[J]. Geomatics and Information Science of Wuhan University, 2004, 29(6): 488-491.
Citation: WU Fan. Scaleless Representations for Polyline Spatial Data Based on Wavelet Analysis[J]. Geomatics and Information Science of Wuhan University, 2004, 29(6): 488-491.
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Scaleless Representations for Polyline Spatial Data Based on Wavelet Analysis

  • Key Laboratory of Geographic Information System(Wuhan University), Ministry of Education, 129 Luoyu Road, Wuhan 430079, China

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  • Received Date: April 09, 2004
  • Published Date: June 04, 2004
    Graphical Abstract
    • Abstract
  • The key for scaleless representation of geo-spatial data is how to acquire the geographic information with different details at any scales dynamically and continuously. This paper presents a scaleless and consistent representation model for multi-scale geo-spatial data by using wavelet analysis, introduces how to acquire the geographic information at multiple integer scales based on this model and how to get the interim geographic information at the fractional scales between the adjacent integer scales by subjoining the details incrementally and dynamically so as to implement the scaleless representations for ployline feature of spatial data. Some examples are demonstrated.
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