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

Urban object detection using a fusion approach of dense urban digital surface models and VHR optical satellite stereo data

Krauß, Thomas and Reinartz, Peter (2010) Urban object detection using a fusion approach of dense urban digital surface models and VHR optical satellite stereo data. ISPRS Istanbul Workshop 2010, WG I/4, 11-13 Oct 2010, Istanbul, Turkey.

[img]
Preview
PDF
2MB

Abstract

In this paper we describe a new approach for the extraction of urban objects from very high resolution (VHR) optical stereo satellite imagery. Such data is delivered from sensors like Ikonos, QuickBird, GeoEye or WorldView-II. These sensors provide ground sampling distances (GSD) of 0.5 to 1 m for the pan chromatic channel and 2 to 4 m for the multispectral channels. Normally good digital surface models (DSM) can only be expected at 1/3 to 1/5 of the original GSD. But we present a new approach which uses the generation of dense disparity maps based on computer vision approches and fuse these disparity maps with additional information gained from the original imagery to allow the extraction and afterwards modeling of urban objects. This can be achieved due to the fact that the generated disparity maps are constructed on one of the original images. So a direct pixel to pixel correlation of the height (represented by the disparity) and the spectral information (represented by the pan sharpened original image) can be done. Applying methods for the generation of a digital terrain model (DTM) which represents the ground without elevated objects and spectral classification allows the separation of typical urban classes like buildings, trees, roads, low vegetation, water and so on. These classes will be treated individually in the modeling step to generate a simplified 3D model of the observed urban area. The results are presented, compared to the original imagery and discussed.

Item URL in elib:https://elib.dlr.de/66413/
Document Type:Conference or Workshop Item (UNSPECIFIED)
Title:Urban object detection using a fusion approach of dense urban digital surface models and VHR optical satellite stereo data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, ThomasDLRUNSPECIFIED
Reinartz, PeterDLRUNSPECIFIED
Date:October 2010
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:38
Number of Pages:6
Status:Published
Keywords:object detection, fusion, digital surface models, digital terrain models, urban areas, VHR, optical stereo imagery
Event Title:ISPRS Istanbul Workshop 2010, WG I/4
Event Location:Istanbul, Turkey
Event Type:Workshop
Event Dates:11-13 Oct 2010
Organizer:Bimtas
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 - Vorhaben Photogrammetrie und Bildanalyse (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Krauß, Thomas
Deposited On:22 Nov 2010 15:36
Last Modified:31 Jul 2019 19:29

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.