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3D-Information Fusion from Very High Resolution Satellite Sensors

Krauß, Thomas and d’Angelo, Pablo and Kuschk, Georg and Tian, Jiaojiao and Partovi, Tahmineh (2015) 3D-Information Fusion from Very High Resolution Satellite Sensors. In: Proceedings of International Symposium on Remote Sensing of Environment (ISRSE) 2015, pp. 1-6. 36th International Symposium on Remote Sensing of Environment (ISRSE), 11.-15. Mai 2015, Berlin, Germany.

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Official URL: http://www.isrse36.org/

Abstract

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 Pleiades 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.

Item URL in elib:https://elib.dlr.de/95876/
Document Type:Conference or Workshop Item (Speech)
Title:3D-Information Fusion from Very High Resolution Satellite Sensors
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
d’Angelo, Pablopablo.angelo (at) dlr.deUNSPECIFIED
Kuschk, Georggeorg.kuschk (at) dlr.deUNSPECIFIED
Tian, Jiaojiaojiaojiao.tian (at) dlr.deUNSPECIFIED
Partovi, Tahminehtahmineh.partovi (at) dlr.deUNSPECIFIED
Date:May 2015
Journal or Publication Title:Proceedings of International Symposium on Remote Sensing of Environment (ISRSE) 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:Stereo satellites, DSM, 3D-objects, DTM, 3D-change-detection
Event Title:36th International Symposium on Remote Sensing of Environment (ISRSE)
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:11.-15. Mai 2015
Organizer:International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:17 Apr 2015 10:10
Last Modified:31 Jul 2019 19:52

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