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Folie 1 Vortrag > Autor > Dokumentname > Datum Coherent vs. Persistent Scatterers: A Case Study. L. Marotti, N. Adam, A. Parizzi, K.P. Papathanassiou German Aerospace Center (DLR)

Coherent vs. Persistent Scatterers: A Case Study.earth.esa.int/workshops/fringe07/participants/341/pres_341_marotti.… · Folie 1 Vortrag > Autor > Dokumentname > Datum Coherent

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Page 1: Coherent vs. Persistent Scatterers: A Case Study.earth.esa.int/workshops/fringe07/participants/341/pres_341_marotti.… · Folie 1 Vortrag > Autor > Dokumentname > Datum Coherent

Folie 1Vortrag > Autor > Dokumentname > Datum

Coherent vs. Persistent Scatterers: A Case Study.

L. Marotti, N. Adam, A. Parizzi, K.P. PapathanassiouGerman Aerospace Center (DLR)

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CSs Concept

CSs can be defined as scatterers with point-like scattering behavior;

They are unaffected by multiple scattering effects;

As point-like scatterers the CSs are characterized by a correlated object spectrum.

Detection performed by exploiting spectral correlation properties addressed in terms of image sub-look (spectral) correlation;

Detection quality related to the available system bandwidth;

No temporal stability is assumed in their definition;

Main applications: characterization of individual scatterers trough their polarimetric properties, estimation of LOS rotation angle and dielectric constant.

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Airborne CSs detection: Single-Pol (HH), Quad-Pol, Multi-Frequency (L-,C-,X-Band)

100 MHz system bandwidth Red: HH , Green: HV, Blue: VV Munich

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ALOS Data Set

2007 02 151.1PLRALPSRP056502630

2006 12 311.1PLRALPSRP049792630

2006 11 151.1PLRALPSRP043082630

2006 09 301.1PLRALPSRP026372630

2006 08 151.1PLRALPSRP029662630

2006 06 301.1PLRALPSRP022952630

Acquisition Date

P. LevelP. TypeScene ID

Sensor: ALOS-PalSARRepeat Interval: 46 Days Time period: 7.5 months.System Bandwidth: 14MHz

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HHRGB-code:

Red: HH , Green: HV, Blue: VV

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Dataset

Test site: MunichSensor: ERSSystem bandwidth: 16MHz

Start time: 27-APR-1992End time: 22-AUG-2002# Acquisitions: 86Time period:10 years

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CSs detection in time

The mean sub-lookCoherence is used for the detection

One imageSub-look coherences

Stack

Sub-look1

Sub-look2

x *

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CSs detection

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Correlation Sub-look coherence – Amplitude

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Correlation Sub-look coherence – SCR

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PSs Concept

Natural stable scatterers over long time series of SAR data;

They are characterized by a coherent behavior in the time;

Possible exploitation of large datasets independently from baseline or temporal separation;

Detection quality related to high number of acquisitions;

Enabled the development of many interferometric application: velocity terrain displacements evaluation , accurate DEM generation ecc.

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PSs and CSs detection

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PSs and CSs detection

PSC ~ 112KCS ~ PSCCommon points ~ 20K

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PSs vs. CSs: Amplitude

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PSs vs. CSs: Amplitude

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PSs vs. CSs: SCR

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PSs vs. CSs: Sub-look coherence

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PS velocity displacement map

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CSs velocity displacement map

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Deformation estimation comparison

-0.98-0.37CSsPSs

Mean Velocity (mm/yr)

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Conclusions

The CSs detection performed with narrow system bandwidth, also if maybe non optimal, has been demonstrated;

Stable CSs were found to be present in SAR images acquired over a long time period;

The CSs amplitude signal and its correlation with the CSs sub-look coherence has been evaluated while no correlation has been foundbetween CSs sub-look coherence and SCR;

The relation between CSs and PSs have been analyzed in term of their location in the scene, backscattered signal amplitude, SCR as well as amount of sub-look coherence;

The possibility to perform LOS velocity displacement evaluation by means of CSs have been also investigated.