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CMRT09

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: CMRT09

Monograph

Persistent identifier:
856955019
Author:
Stilla, Uwe
Title:
CMRT09
Sub title:
object extraction for 3D city models, road databases, and traffic monitoring ; concepts, algorithms and evaluation ; Paris, France, September 3 - 4, 2009 ; [joint conference of ISPRS working groups III/4 and III/5]
Scope:
X, 234 Seiten
Year of publication:
2009
Place of publication:
Lemmer
Publisher of the original:
GITC
Identifier (digital):
856955019
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
THEORETICAL ANALYSIS OF BUILDING HEIGHT ESTIMATION USING SPACEBORNE SAR-INTERFEROMETRY FOR RAPID MAPPING APPLICATIONS Stefan Hinz, Sarah Abelen
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • CMRT09
  • Cover
  • ColorChart
  • Title page
  • Workshop Committees
  • Program Committee:
  • Preface
  • Contents
  • EFFICIENT ROAD MAPPING VIA INTERACTIVE IMAGE SEGMENTATION O. Barinova, R. Shapovalov, S. Sudakov, A. Velizhev, A. Konushin
  • SURFACE MODELLING FOR ROAD NETWORKS USING MULTI-SOURCE GEODATA Chao-Yuan Lo, Liang-Chien Chen, Chieh-Tsung Chen, and Jia-Xun Chen
  • AUTOMATIC EXTRACTION OF URBAN OBJECTS FROM MULTI-SOURCE AERIAL DATA Adriano Mancini, Emanuele Frontoni and Primo Zingaretti
  • ROAD ROUNDABOUT EXTRACTION FROM VERY HIGH RESOLUTION AERIAL IMAGERY M. Ravenbakhsh, C. S. Fraser
  • ASSESSING THE IMPACT OF DIGITAL SURFACE MODELS ON ROAD EXTRACTION IN SUBURBAN AREAS BY REGION-BASED ROAD SUBGRAPH EXTRACTION Anne Grote, Franz Rottensteiner
  • VEHICLE ACTIVITY INDICATION FROM AIRBORNE LIDAR DATA OF URBAN AREAS BY BINARY SHAPE CLASSIFICATION OF POINT SETS W. Yaoa, S. Hinz, U. Stilla
  • TRAJECTORY-BASED SCENE DESCRIPTION AND CLASSIFICATION BY ANALYTICAL FUNCTIONS D. Pfeiffer, R. Reulke
  • 3D BUILDING RECONSTRUCTION FROM LIDAR BASED ON A CELL DECOMPOSITION APPROACH Martin Kada, Laurence McKinle
  • A SEMI-AUTOMATIC APPROACH TO OBJECT EXTRACTION FROM A COMBINATION OF IMAGE AND LASER DATA S. A. Mumtaz, K. Mooney
  • COMPLEX SCENE ANALYSIS IN URBAN AREAS BASED ON AN ENSEMBLE CLUSTERING METHOD APPLIED ON LIDAR DATA P. Ramzi, F. Samadzadegan
  • EXTRACTING BUILDING FOOTPRINTS FROM 3D POINT CLOUDS USING TERRESTRIAL LASER SCANNING AT STREET LEVEL Karim Hammoudi, Fadi Dornaika and Nicolas Paparoditis
  • DETECTION OF BUILDINGS AT AIRPORT SITES USING IMAGES & LIDAR DATA AND A COMBINATION OF VARIOUS METHODS Demir, N., Poli, D., Baltsavias, E.
  • DENSE MATCHING IN HIGH RESOLUTION OBLIQUE AIRBORNE IMAGES M. Gerke
  • COMPARISON OF METHODS FOR AUTOMATED BUILDING EXTRACTION FROM HIGH RESOLUTION IMAGE DATA G. Vozikis
  • SEMI-AUTOMATIC CITY MODEL EXTRACTION FROM TRI-STEREOSCOPIC VHR SATELLITE IMAGERY F. Tack, R. Goossens, G. Buyuksalih
  • AUTOMATED SELECTION OF TERRESTRIAL IMAGES FROM SEQUENCES FOR THE TEXTURE MAPPING OF 3D CITY MODELS Sébastien Bénitez and Caroline Baillard
  • CLASSIFICATION SYSTEM OF GIS-OBJECTS USING MULTI-SENSORIAL IMAGERY FOR NEAR-REALTIME DISASTER MANAGEMENT Daniel Frey and Matthias Butenuth
  • AN APPROACH FOR NAVIGATION IN 3D MODELS ON MOBILE DEVICES Wen Jiang, Wu Yuguo, Wang Fan
  • GRAPH-BASED URBAN OBJECT MODEL PROCESSING Kerstin Falkowski and Jürgen Ebert
  • A PROOF OF CONCEPT OF ITERATIVE DSM IMPROVEMENT THROUGH SAR SCENE SIMULATION D. Derauw
  • COMPETING 3D PRIORS FOR OBJECT EXTRACTION IN REMOTE SENSING DATA Konstantinos Karantzalos and Nikos Paragios
  • OBJECT EXTRACTION FROM LIDAR DATA USING AN ARTIFICIAL SWARM BEE COLONY CLUSTERING ALGORITHM S. Saeedi, F. Samadzadegan, N. El-Sheimy
  • BUILDING FOOTPRINT DATABASE IMPROVEMENT FOR 3D RECONSTRUCTION: A DIRECTION AWARE SPLIT AND MERGE APPROACH Bruno Vallet and Marc Pierrot-Deseilligny and Didier Boldo
  • A TEST OF AUTOMATIC BUILDING CHANGE DETECTION APPROACHES Nicolas Champion, Franz Rottensteiner, Leena Matikainen, Xinlian Liang, Juha Hyyppä and Brian P. Olsen
  • CURVELET APPROACH FOR SAR IMAGE DENOISING, STRUCTURE ENHANCEMENT, AND CHANGE DETECTION Andreas Schmitt, Birgit Wessel, Achim Roth
  • RAY TRACING AND SAR-TOMOGRAPHY FOR 3D ANALYSIS OF MICROWAVE SCATTERING AT MAN-MADE OBJECTS S. Auer, X. Zhu, S. Hinz, R. Bamler
  • THEORETICAL ANALYSIS OF BUILDING HEIGHT ESTIMATION USING SPACEBORNE SAR-INTERFEROMETRY FOR RAPID MAPPING APPLICATIONS Stefan Hinz, Sarah Abelen
  • FUSION OF OPTICAL AND INSAR FEATURES FOR BUILDING RECOGNITION IN URBAN AREAS J. D. Wegner, A. Thiele, U. Soergel
  • FAST VEHICLE DETECTION AND TRACKING IN AERIAL IMAGE BURSTS Karsten Kozempel and Ralf Reulke
  • REFINING CORRECTNESS OF VEHICLE DETECTION AND TRACKING IN AERIAL IMAGE SEQUENCES BY MEANS OF VELOCITY AND TRAJECTORY EVALUATION D. Lenhart, S. Hinz
  • UTILIZATION OF 3D CITY MODELS AND AIRBORNE LASER SCANNING FOR TERRAIN-BASED NAVIGATION OF HELICOPTERS AND UAVs M. Hebel, M. Arens, U. Stilla
  • STUDY OF SIFT DESCRIPTORS FOR IMAGE MATCHING BASED LOCALIZATION IN URBAN STREET VIEW CONTEXT David Picard, Matthieu Cord and Eduardo Valle
  • TEXT EXTRACTION FROM STREET LEVEL IMAGES J. Fabrizio, M. Cord, B. Marcotegui
  • CIRCULAR ROAD SIGN EXTRACTION FROM STREET LEVEL IMAGES USING COLOUR, SHAPE AND TEXTURE DATABASE MAPS A. Arlicot, B. Soheilian and N. Paparoditis
  • IMPROVING IMAGE SEGMENTATION USING MULTIPLE VIEW ANALYSIS Martin Drauschke, Ribana Roscher, Thomas Läbe, Wolfgang Förstner
  • REFINING BUILDING FACADE MODELS WITH IMAGES Shi Pu and George Vosselman
  • AN UNSUPERVISED HIERARCHICAL SEGMENTATION OF A FAÇADE BUILDING IMAGE IN ELEMENTARY 2D - MODELS Jean-Pascal Burochin, Olivier Tournaire and Nicolas Paparoditis
  • GRAMMAR SUPPORTED FACADE RECONSTRUCTION FROM MOBILE LIDAR MAPPING Susanne Becker, Norbert Haala
  • Author Index
  • Cover

Full text

In: Stilla U, Rottensteiner F, Paparoditis N (Eds) CMRT09. IAPRS, Vol. XXXVIII, Part 3/W4 — Paris, France, 3-4 September, 2009 
THEORETICAL ANALYSIS OF BUILDING HEIGHT ESTIMATION USING SPACE 
BORNE SAR-INTERFEROMETRY FOR RAPID MAPPING APPLICATIONS 
Stefan Hinz 1 , Sarah Abelen 2 
'Institute of Photogrammetry and Remote Sensing, Univeristät Karlsruhe, Kaiserstr. 12, 76 128 Karlsruhe 
2 Remote Sensing Technology, Technische Universität München, Arcisstr. 21,81 333 München 
Stefan.Hinz@ipf.uni-karlsruhe.de 
Commission III, WG 5 
KEY WORDS: Space-borne Interferometrie SAR, Building Heights, TanDEM-X. CosmoSkymed 
ABSTRACT: 
The great potential of space-borne SAR images for semi- or fully-automatic mapping of topographic features has been shown by 
many approaches. While most of them focus on 2D mapping of topographic features, some preliminary research on the complex task 
of automatic delineation of 3D information in urban environments has been initiated in recent years. In this paper, we analyze the 
capabilities of new space-borne interferometric SAR missions - in particular the German TanDEM-X mission - with respect to their 
potential of deriving building heights. To this end, we summarize the mathematical framework and carry out a thorough analytical 
accuracy analysis involving various sensor and scene parameters. 
1. INTRODUCTION 
The new class of space-borne high resolution SAR sensors such 
as TerraSAR-X, SAR-Lupe or Cosmo-SkyMed is able to 
provide SAR images of l-3m spatial resolution or even below 
in special spotlight modes. Naturally, the development of 
methods to automatically derive detailed cartographic 
information from this kind of data is a major issue driven by 
these missions. Since SAR is largely independent from 
illumination and weather conditions, it is furthermore an 
attractive imaging technology for acquiring area-wide 
information of regions hit by disasters such as floodings, 
landslides, or earthquakes. 
The great potential of space-borne SAR images for semi- or 
fully-automatic mapping of 2D topographic features has been 
shown by many encouraging approaches, e.g., (Negri et al., 
2006; Frey & Butenuth, 2009) for delineation of roads and 
(Jäger et al. 2007; Hänsch & Hellwich, 2008) for classification 
of agricultural features, just to name few recent ones. The 
derivation of 3D features is however more difficult, since these 
current civilian space-borne systems have only limited 
interferometric capabilities. While the acquisition of along-track 
interferometric image pairs is possible by programming special 
RADAR imaging modes (e.g. DRA mode or Aperture 
Switching mode for TerraSAR-X (Runge et ah, 2006)) enabling 
the detection of moving objects (Suchandt et ah, 2008; Weihing 
et ah, 2008), none of the current civilian space systems is 
equipped with an across-track interferometer, which would 
provide the basis for deriving topographic heights (Bamler & 
Hartl, 1998; Cumming & Wong, 2005). The necessary across- 
track baseline is only given when forming an interferogram of 
two SAR acquisitions taken from the same orbit yet at different 
passes of the satellite, and thereby relying on the positional 
variation of the orbits. It is clear that the resulting 
interferograms suffer from decorrelation depending on temporal 
variability of the objects under investigation. 
This situation will change once TerraSAR-X will be 
accompaigned by a second, quasi-identical SAR satellite in late 
2009, leading to the TanDEM-X mission. Both satellites will fly 
almost in parallel forming a helix-like orbit pair (Zink et ah 
2006). This configuration allows to acquiring SAR image pairs 
with variable across-track geometry resulting in a significantly 
improved interferometric coherence. The great benefit of single 
pass across-track SAR interferometers has been intensively 
studied in the context of the Shuttle Radar Topography Mission 
(SRTM). Despite of the limited spatial resolution of SRTM data 
(approx. 25m), it was possible to compute a global digital 
elevation model with standardized height accuracy of few 
meters, see, e.g., the comprehensive overview given in (Rabus 
et ah, 2003). 
TanDEM-X will deliver high coherence interferometric data of 
the meter class. Although the mission is mainly designed to 
generate accurate digital elevation models satisfying HRTI-3 
standards (Zink et ah, 2006), it can be expected that this kind of 
data opens up a much wider field for specialized methods for 
3D mapping of topographic features. The automated derivation 
of building heights or even the detailed reconstruction of 
buildings is certainly an important application amongst these. 
Apart from the improved spatial resolution, a major difference 
between TanDEM-X and SRTM is the variable across-track 
baseline of TanDEM-X, whereas the baseline of SRTM was 
held quasi-constant due to the second antenna mounted at a 
60m boom (and neglecting periodic baseline variations as 
consequence of thrusting). Hence, a thorough analysis of 
accuracy aspects of height estimation under the given flexibility 
of TanDEM-X is a key issue. 
Following questions should be answered by the analysis: 
Which accuracy level in terms of building height 
estimation can be reached with interferometric data as 
it will be provided by TanDEM-X? 
Is this accuracy sufficient to derive object specific 
information for rapid mapping in the context of crisis 
management? Such information may comprise, e.g., 
o the number of floors to estimate the amount 
of people living in a house 
o attached building parts of different height 
o the roof type (flat roof, saddle roof, etc.) 
How would the accuracy improve, if external data 
from GIS is included (e.g. digital building footprints)?
	        

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