Fusion of InSAR and GIS data for 3D building …earth.esa.int/fringe09/participants/508/pres_508_Thiele.pdf03.12.2009 Fusion of InSAR and GIS data for 3D building reconstruction and

KIT – University of the State of Baden-Württemberg andNational Large-scale Research Center of the Helmholtz Association

1 IPF - Institute of Photogrammetry and Remote Sensing, Karlsruhe, Germany2 Fraunhofer FOM, Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany

www.kit.edu

Fusion of InSAR and GIS data for 3D building reconstruction and change detection

Antje Thiele1,2, Stefan Hinz1, Erich Cadario2

IPF – Institute of Photogrammetryand Remote Sensing

2 03.12.2009 Fusion of InSAR and GIS data for 3D building reconstruction and change detection

Question: Why Building Reconstruction?

Answer: High relevance of 3D city models

Motivation

Visualization

source: virtualcitySYSTEMS

Mission planningSimulationUpdating

source: GRASS (M. Netele)

Change detectionDisaster managementUpdating of map informationDeformation monitoring

source: www.dvice.com



Rapid mapping (short-term applications)no PSIno Tomography

Preparation for TanDEM-X mission

Question: Why Building Reconstruction?

Answer: High relevance of 3D city models

Motivation

Visualization

Mission planningSimulationUpdating

Change detectionDisaster managementUpdating of map informationDeformation monitoring



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Signature of isolated buildings:

SAR magnitude signature

Motivation

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InSAR phase signature

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Motivation

Signature of in dense urban area:


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Motivation






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Motivation






Content

Approach of 3D building reconstruction

Current results of analyzing airborne InSAR data

Outlook




InSAR Data

-airborne e.g. STAR3i

-space-borne

e.g. TerraSAR-X

Simulation of InSAR Phases

e.g. simple model –

Thiele et al. 2007: “InSAR phase profiles at building locations“

Assessment of Phases

e.g. correlation coefficient

0 5 10 15 200

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building height [m]

corre

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Visualization

e.g. optical image overlaid with 3D-

model

GIS-Information

e.g. cadastral information, reconstruction results




A1

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equidistant ground spacing

equidistant range spacingA1

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equidistant range spacing

Contribution distribution ofInSAR measurements at building location

Thiele, A., Cadario, E., Schulz, K., Thoennessen, U., Soergel, U. (2007): InSAR Phase Profiles at building Locations. In: Proceedings of ISPRS Photogrammetric

Image Analysis, Vol. XXXVI, Part 3/W49A, pp. 203-208.




A1

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equidistant range spacingA1

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equidistant range spacing

Contribution distribution ofInSAR measurements at building location

Implementation of Phase Mixture Model

A

r1A r1B r1C

DSM height profile

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fragment 1

PS1 PE1

PS4

PE4

fragment 4αA

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DSM height profile

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fragment 1

PS1 PE1

PS4

PE4

fragment 4αA

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αC

32

Thiele, A., Cadario, E., Schulz, K., Thoennessen, U., Soergel, U. (2007): InSAR Phase Profiles at building Locations. In: Proceedings of ISPRS Photogrammetric

Image Analysis, Vol. XXXVI, Part 3/W49A, pp. 203-208.




Interferogram calculation:

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m

mjeam

mamS

coscos

)22

22

22(

)111

11

1(

21

CrjeCaBrj

eBaArjeAa

rjeCarj

eBarjeAa

SSS

Modeling assumptions: considering only direct reflection

weighting backscatter magnitudes by local incidence angle

using generalized DSM

considering no material model information

neglecting shadow noise impact










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Outlook

Improvement of correlation result by:Modifying simulation (e.g. weighting of facades, considering shadow) Modifying interferogram calculation (e.g. smart filtering)

ml 3x3 pixel ml 9x9 pixel

M. Eineder, DLR



OutlookTheoretical evaluation for TanDEM-X

Height error of ca. 1 –

1,5m (also for moderate coherence)Carefully chosen baselines and incidence angles close to the limit of TanDEM-X

Reconstruction of dense urban scenes considering interaction effects

between neighbored building

source: Google



Outlook

Thank you for your attention!

Theoretical evaluation for TanDEM-XHeight error of ca. 1 –

1,5m (also for moderate coherence)Carefully chosen baselines and incidence angles close to the limit of TanDEM-X

Reconstruction of dense urban scenes considering interaction effects

between neighbored building

Extraction of Changes



Open PhD position at Karlsruhe Institute of Technology (KIT), Germany

Topic: Fusion of GPS-Tomography and SAR-Interferometry

for estimating atmospheric water vapor

Details: -

Position jointly hosted by Institute of Geodesy and Institute of Photogrammetry

and Remote Sensing

-

Full-time research position, 24 months, funded by research cluster „Hydrosphere“

Contact: -

Prof. Stefan Hinz

(KIT) → [email protected]

(for more information, see announcement at information desk)

Documents

Fusion of InSAR and GIS data for 3D building …earth.esa.int/fringe09/participants/508/pres_508_Thiele.pdf03.12.2009 Fusion of InSAR and GIS data for 3D building reconstruction and