Mazin Alkathiri

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As stated in literature by several authors, there has been literally big-bang explosion in data acquired in recent times. This is especially so about the geographical or geospatial data. The huge volume of data acquired in different formats, structured, unstructured ways, having large complexity and non-stop generation of these data have posed an(More)
Geospatial data, input for any Geographic Information System (GIS), are gathered from various sources such as earth observation satellites (EOS), drones, mobile devices, sensor networks, RFIDs and the web. Geospatial data such as multi-spectral and temporal images are examples of raster data while vector data are stored in the shapefile format containing(More)
The explosion of ever increasing geospatial data is today met with the challenge of maintaining it in spatial databases and utilization of traditional methods of spatial data processing. The sheer volume and complexity of spatial databases makes them an ideal candidate for use with parallel and distributed processing architectures. There is a lot of(More)
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