Object-based image information fusion using multisensor earth observation data over urban areas

  • Wurm M
  • Taubenböck H
  • Schardt M
 et al. 
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Abstract

At present, the majority of the worlds population is living in urban areas. Cities undergo constant development in their morphology. The latter is always a turnedinto- stone representation of the coetaneous social, economical and technical values. The technical developments in recent years of very high-resolution spaceborne earth observation methods enable mapping of large urban areas with a decent level of detail. Additionally, detailed elevation information of urban areas in developed countries is widely available. Digital surface models (DSMs) support the classification of urban structures beyond two-dimensional classifications. We present a hierarchical, object-based and transferable framework to extract the urban structure on a high level of geometric detail for two test sites in Germany. The results show accuracies of above 90% for the land-use/land-cover classification for both test sites applying the same routines. DSMs from various sources have been utilised for the extraction of the individual building structures with accuracies of 90% and 80%, respectively. The methodology is suited to extract the urban structure on the level of individual buildings and the results can be utilised as 3D city model for the purpose of decision-making, urban planning and further analyses

Author-supplied keywords

  • DSM
  • Laserscanning
  • Object-based
  • Urban structure
  • Very high resolution optical satellite imagery

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