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3D-information fusion from very high resolution satellite sensors

International archives of the photogrammetry, remote sensing and spatial information sciences., 2015, Vol.XL-7/W3 (7), p.651-656 [Peer Reviewed Journal]

Copyright Copernicus GmbH 2015 ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprsarchives-XL-7-W3-651-2015

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  • Title:
    3D-information fusion from very high resolution satellite sensors
  • Author: Krauss, T. ; d'Angelo, P. ; Kuschk, G. ; Tian, J. ; Partovi, T.
  • Is Part Of: International archives of the photogrammetry, remote sensing and spatial information sciences., 2015, Vol.XL-7/W3 (7), p.651-656
  • Description: In this paper we show the pre-processing and potential for environmental applications of very high resolution (VHR) satellite stereo imagery like these from WorldView-2 or Pl´eiades with ground sampling distances (GSD) of half a metre to a metre. To process such data first a dense digital surface model (DSM) has to be generated. Afterwards from this a digital terrain model (DTM) representing the ground and a so called normalized digital elevation model (nDEM) representing off-ground objects are derived. Combining these elevation based data with a spectral classification allows detection and extraction of objects from the satellite scenes. Beside the object extraction also the DSM and DTM can directly be used for simulation and monitoring of environmental issues. Examples are the simulation of floodings, building-volume and people estimation, simulation of noise from roads, wave-propagation for cellphones, wind and light for estimating renewable energy sources, 3D change detection, earthquake preparedness and crisis relief, urban development and sprawl of informal settlements and much more. Also outside of urban areas volume information brings literally a new dimension to earth oberservation tasks like the volume estimations of forests and illegal logging, volume of (illegal) open pit mining activities, estimation of flooding or tsunami risks, dike planning, etc. In this paper we present the preprocessing from the original level-1 satellite data to digital surface models (DSMs), corresponding VHR ortho images and derived digital terrain models (DTMs). From these components we present how a monitoring and decision fusion based 3D change detection can be realized by using different acquisitions. The results are analyzed and assessed to derive quality parameters for the presented method. Finally the usability of 3D information fusion from VHR satellite imagery is discussed and evaluated.
  • Publisher: Gottingen: Copernicus GmbH
  • Language: English
  • Identifier: ISSN: 2194-9034
    ISSN: 1682-1750
    EISSN: 2194-9034
    DOI: 10.5194/isprsarchives-XL-7-W3-651-2015
  • Source: ProQuest Central
    DOAJ Directory of Open Access Journals
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