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Spatial Data Exploration of Large-area VHR Satellite Classification Results and Derivates through Cartographic Visualization

May 23, 2011

GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany

Tillmann Lübker, Johannes Klein, and Gertrud Schaab

“Kakamega Forest in western Kenya and its surrounding farmland was the main study area of the BIOTA East Africa project, which aimed at a sustainable use and conservation of biodiversity in Africa [www.biota-africa.de]. For the highly structured agricultural land very high resolution (VHR) QuickBird imagery has been acquired covering 473 km². After thorough pre-processing including corrections of atmospheric and terrain influences as well as mosaicing of two adjacent image swaths [1], the imagery has been classified by means of object-based image analysis. During classification special focus was placed on the optimization of segmentation parameters [2] and the selection of relevant features as part of an integrative work-flow [3].”

3 Comments leave one →
  1. Jim Barry permalink
    May 23, 2011 11:07 am

    The “Read the paper” link above goes only to the Abstract. Am I missing something?

  2. Matt Artz permalink*
    May 23, 2011 11:41 am

    Sorry, my mistake–the complete paper does not appear to be available online, the link is to the extended abstract.

  3. October 30, 2011 9:21 am

    Hi, only this extended abstract exists, there is no full article on this topic.

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