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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 
Figure 7: pdf of height for varying coherence (other parameters fixed). 
4. ACCURACY OF BUILDING HEIGHT ESTIMATION 
The accuracy assessment has been carried out with the scheme 
described above. Parameter values were chosen in accordance 
to the main TanDEM-X specifications. Mutual influence of 
following parameters has been investigated: 
baseline length 
incidence angle 
coherence 
amount of averaging/smoothing 
wavelength 
Figure 8 exemplifies the specific case of moderate coherence 
(0.6) and only one single look. i.e. the original spatial resolution 
is maintained and no smoothing is done. A low coherence has 
been chosen by intention, although significantly better values 
are expected for TanDEM-X, since clutter may decrease the 
coherence in layover areas. The ideal case for this configuration 
suggests to selecting a long baseline (e.g. 150m) and a steep 
incidence angle (15°), which results in a height accuracy of 
approx. 2.5m. Incidence angles less close to the system limits 
would yield an accuracy of 5m - 7m. 
The effect of improving coherence is illustrated in Figure 9, 
where height accuracy is plotted against coherence and various 
baselines. It can be seen that, for a baseline of 150m, height 
accuracy increases from 2.5m at a coherence of 0.6 up to 1.5m 
at a coherence of 0.9. 
The final assessment deals with the influence of the number of 
looks. A coherence of 0.7 for the case of 200m baseline and 15° 
incidence angle enables the derivation of building heights with 
lm accuracy for the given viewing geometry (see Figure 10). As 
this kind of averaging reduces the spatial resolution, it is 
reasonable to investigate the effect of smoothing onto the height 
accuracy only up to four looks. What is moreover evident from 
Figure 10 is that the increase of height accuracy is significant 
from one to two and three looks, but it is then gradually 
attenuating - especially for typical coherence values in the 
range of 0.6 - 0.8. 
As a last remark we refer to the used wavelength (X-band in our 
calculations). Equation 7 shows that the RADAR wavelength is 
a constant factor for the phase-to-height-sensitivity, which 
directly propagates to the standard deviation of height 
measurements. A longer wavelength (L-band for instance) 
yields a worse phase-to-height sensitivity and consequently a 
worse height accuracy. It should be noted, however, that long 
wavelengths generally yield better interferometric coherence 
depending on the scene characteristics. Hence, this effect could 
be partly compensated. 
Height Error for Correlation Coefficient = 0.6 and 1 Look 
Figure 8: Height accuracy for varying baseline and incidence angle 
while other parameters are fixed. 
Height Error for 1 Look and Incident Angle = 15® 
Figure 9: Height accuracy for varying baseline and coherence while 
other parameters are fixed. 
Figure 10: Height accuracy for varying looks and coherence while 
other parameters are fixed. 
5. DISCUSSION AND CONCLUSION 
The above analysis shows that space-borne interferometric SAR 
systems like TanDEM-X will allow to measure vertical heights 
with a standard deviation of roughly 1,5m, which also holds for 
the case of moderate coherence in layover areas. Regarding the 
application of rapid mapping, this accuracy will certainly allow 
the estimation of the number of floors or the detection of 
changes in the 3D building geometry. However, baselines and 
incidence angles have to be chosen carefully, as they are close 
to the technical limits (i.e. “critical baseline” and steep viewing 
angle). These constraints can be relaxed when additional data in 
form of digital ground plans is available. These allow, for 
instance, the utilization of specialized filters instead of simple 
multi-looking. The geometry of the filter mask can then be 
adapted to the respective building shape to include as much 
pixels as possible as observations into the height measurement. 
Recall Figure 6 to see how the standard deviation of 
interferometric phase improves with increasing number of 
observations.
	        

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