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Preprocessing of Satellite Data for Urban Object Extraction

Krauß, Thomas (2015) Preprocessing of Satellite Data for Urban Object Extraction. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 115-120. Copernicus Publications. Photogrammetric Image Analysis (PIA) 2015, 25-27 Mar 2015, Munich, Germany. DOI: 10.5194/isprsarchives-XL-3-W2-115-2015

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Official URL: http://www.pf.bgu.tum.de/isprs/pia15/

Abstract

Very high resolution (VHR) DSMs (digital surface models) derived from stereo- or multi-stereo images from current VHR satellites like WorldView-2 or Pleiades can be produced up to the ground sampling distance (GSD) of the sensors in the range of 50 cm to 1 m. From such DSMs the digital terrain model (DTM) representing the ground and also a so called nDEM (normalized digital elevation model) describing the height of objects above the ground can be derived. In parallel these sensors deliver multispectral imagery which can be used for a spectral classification of the imagery. Fusion of the multispectral classification and the nDEM allows a simple classification and detection of urban objects. In further processing steps these detected urban objects can be modeled and exported in a suitable description language like CityGML. In this work we present the pre-processing steps up to the classification and detection of the urban objects. The modeling is not part of this work. The pre-processing steps described here cover briefly the coregistration of the input images and the generation of the DSM. In more detail the improvement of the DSM, the extraction of the DTM and nDEM, the multispectral classification and the object detection and extraction are explained. The methods described are applied to two test regions from two satellites: First the center of Munich acquired by WorldView-2 and second the center of Melbourne acquired by Pleiades. From both acquisitions a stereo-pair from the panchromatic bands is used for creation of the DSM and the pan-sharpened multispectral images are used for spectral classification. Finally the quality of the detected urban objects is discussed.

Item URL in elib:https://elib.dlr.de/95877/
Document Type:Conference or Workshop Item (Speech)
Title:Preprocessing of Satellite Data for Urban Object Extraction
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:March 2015
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.5194/isprsarchives-XL-3-W2-115-2015
Page Range:pp. 115-120
Editors:
EditorsEmail
Stilla, U.Leibniz University Hannover, Germany
Heipke, C.TUM, Germany
Publisher:Copernicus Publications
Status:Published
Keywords:Optical Satellite Data, Stereo processing, DSM extraction, Spectral classification, Urban object detection
Event Title:Photogrammetric Image Analysis (PIA) 2015
Event Location:Munich, Germany
Event Type:international Conference
Event Dates:25-27 Mar 2015
Organizer:ISPRS
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
Deposited By:INVALID USER
Deposited On:17 Apr 2015 10:12
Last Modified:31 Jul 2019 19:52

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