果冻影院

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果冻影院 Department of Civil, Environmental and Geomatic Engineering

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IQmulus - A High-volume Fusion and Analysis Platform for Geospatial Point Clouds and Coverages

IQmulus enables optimized use of large, heterogeneous geo-spatial data sets for better decision making through a high-volume fusion and analysis information management platform.

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1 November 2016

For geospatial applications, huge amounts of heterogeneous data sets of different topology are collected nowadays with different data acquisition techniques. Especially airborne and mobile platform LIDAR data are becoming ubiquitous, but SAR and stereophotogrammetry also contribute to the rapid growth of geo-topographical data sets to sizes of tens to hundreds of TBs. Due to the problems of handling such large data volumes and the difficulty of fusing point clouds of heterogeneous provenance, rasters, volumetric data and 2D vector data, many of those new data sets are not used appropriately or not at all. Therefore, IQmulus is targeting to enable optimized use of large, heterogeneous geo-spatial data sets for better decision making through a high-volume fusion and analysis information management platform.

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  • Kun Liu
  • Christian Alis

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