elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Mapping and updating maps in dense urban regions using high resolution digital airborne imagery, surface models and object-based classification

Oczipka, Martin and Bucher, Tilman and Trosset, Anna-Maria (2008) Mapping and updating maps in dense urban regions using high resolution digital airborne imagery, surface models and object-based classification. In: IAPRS, Beijing 2008, XXXVII (B7), pp. 551-555. ISPRS Congress 2008, 2008-07-02 - 2008-07-12, Peking (China). ISSN 1682-1750

Full text not available from this repository.

Abstract

Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial photographs exhibit a much better radiometric resolution. Image information can be acquired in shaded areas too. This information is essential for a stable and continuous classification, because no data or unclassified areas should be as small as possible. Considering this technological progress, one of the basic questions is how the potential of high radiometric and geometric resolution data can be used in an automatic analysis particularly in urban regions. For this study an object-based classification algorithm was selected to evaluate its suitability to update maps. In this project, image data of two digital airborne cameras were used. The High Resolution Stereo Camera - Airborne eXtended, HRSC-AX, an extended version of the HRSC-A and the Vexcel UltraCamD. Both cameras provide similar good and accurate image data and Digital Surface Model (DSM) data, but they cannot be directly compared, as both have different spectral and spatial characteristics and different pre-processing. Both resulting data sets were used in two separate analyses to develop and test an automated object-based classification procedure using the commercial software Definiens Developer. Taking the aim of map updating into account, emphasis was set on the delineation quality of buildings and correct detection of vegetation and impervious surfaces. As project area the centre of Berlin, Germany, was selected.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Mapping and updating maps in dense urban regions using high resolution digital airborne imagery, surface models and object-based classification
Authors:
AuthorsInstitution or Email of Authors
Oczipka, MartinUNSPECIFIED
Bucher, TilmanUNSPECIFIED
Trosset, Anna-MariaUNSPECIFIED
Date:July 2008
Journal or Publication Title:IAPRS, Beijing 2008
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:XXXVII
Page Range:pp. 551-555
ISSN:1682-1750
Status:Published
Keywords:Classification, HRSC-AX, Ultracam, Feature detection, Multi-spectral remote sensing, Airborne remote sensing
Event Title:ISPRS Congress 2008
Event Location:Peking (China)
Event Type:international Conference
Event Dates:2008-07-02 - 2008-07-12
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W -- no assignement (old)
Location: Berlin-Adlershof
Institutes and Institutions:Optical Information Systems
Deposited By: Ute Dombrowski
Deposited On:13 Oct 2008
Last Modified:27 Apr 2009 15:16

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.