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Scatterer Characterisation Using Polarimetric SAR Tomography

Scatterer Characterisation Using Polarimetric SAR Tomography

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Let define �a ′ d = �ad/��ad� = [B ′ d ] � f ′ d as the normalised<br />

steering vector of �ad with {[B ′ d ]=[�b ′ 1(zd) �b ′ 2(zd)]} D d=1 .It<br />

can be shown that the ratio between the two elements of � f ′ d<br />

corresponds to the polarisation ratio ρEd � . The estimation of<br />

�f ′ d is given by calculating the eigenvector of the Hermitian<br />

matrix [B ′ d ]† [EN ][EN ] † [B ′ d ], corresponding the the smallest<br />

eigenvalue.<br />

Finally, the two polarimetric angles {γd} D d=1 and {δd} D d=1<br />

can be determined uniquely from:<br />

γd = tan −1<br />

� �<br />

�<br />

� 1<br />

�<br />

�<br />

� �<br />

�ρEd<br />

� � with δd = − arg ρEd � (11)<br />

From the spheric angle, it is possible to estimate the<br />

orientation φ and the ellipticity τ angles characterising the<br />

polarisation ellipse. The relations between all different angles<br />

are:<br />

tan 2φ = tan 2γ cos δ<br />

sin 2τ = sin2γsin δ (12)<br />

height (m)<br />

height (m)<br />

655<br />

645<br />

635<br />

625<br />

655<br />

645<br />

635<br />

625<br />

forest<br />

MUSIC (5) - PHI<br />

street<br />

building<br />

corner<br />

reflector<br />

ground<br />

0 100 200 300 400 500<br />

azimuth position (pixels)<br />

MUSIC (5) - TAU<br />

forest<br />

street<br />

building<br />

corner<br />

reflector<br />

ground<br />

0 100 200 300 400 500<br />

azimuth position (pixels)<br />

+15 ◦<br />

angles (deg) −15◦<br />

+15 ◦<br />

angles (deg) −15◦<br />

Fig. 5. Angles characterising the polarisation ellipse. Top Orientation angle<br />

φ. Bottom Ellipticity angle τ<br />

Fig. 5 presents results of this polarimetric approach of<br />

the <strong>SAR</strong> tomography, using HH and VH polarisation data.<br />

It represents the orientation φ and the ellipticity τ angles<br />

retrieved using the polarimetric MUSIC approach, assuming 5<br />

scatterers. These results show that the retrieved polarisations<br />

are media depending. The polarisation state responses of the<br />

forest ground and the grass field are not the same. The<br />

response of the ground over the forest is a linear polarisation<br />

(τ =0◦ ) with an orientation about 15◦ , whereas the polarisation<br />

over the grass field is horizontal linear polarisation,<br />

characteristic of a surface reflection by a wave emitted in<br />

a horizontal polarisation. Over the building, the polarisation<br />

state is similar with that the ground under the forest. Over the<br />

forest canopy, polarimetric responses are random, as it can be<br />

expected from the random behaviour of this kind of media.<br />

This polarimetric approach of the <strong>SAR</strong> tomography shows<br />

that the polarimetric behaviour is depending with the media<br />

observed and make it possible to characterise partially targets<br />

in terms of height position but also by their physical properties.<br />

IV. CONCLUSION<br />

This paper presents the first step into polarimetric <strong>SAR</strong><br />

tomography. In a first part, hight resolution methods were used<br />

to generate high quality tomograms. The results obtained show<br />

an improvement compared to the initial results, and different<br />

scatterers have been detected. Nevertheless, unless having<br />

the ground-truth of the area under study, the mono-channel<br />

approach of the <strong>SAR</strong> tomography does not make it possible<br />

to identify the nature of the scattering mechanism detected.<br />

For stage with this disadvantage, a polarimetric approach of<br />

the <strong>SAR</strong> tomography approach is proposed. Like the Caponbased<br />

result data are not coherent and it is not possible to apply<br />

to the obtained data a simple polarimetric decomposition like,<br />

for instance, the Pauli decomposition, which is related to some<br />

basic scattering mechanisms, a polarisation state estimation<br />

based on a extension of the MUSIC algorithm has been<br />

proposed. This method takes into account partially polarised<br />

data. It is shown that the polarimetric behaviour is depending<br />

with the observed media and the partial characterisation of the<br />

target is possible. In the future, a use of fully polarimetric data<br />

will be necessary to completely characterize the objects.<br />

ACKNOWLEDGMENT<br />

This work was supported by the German Science Foundation<br />

DFG, under project No. RE 1698/1.<br />

REFERENCES<br />

[1] A. Reigber and A. Moreira, “First Demonstration of Airborne <strong>SAR</strong><br />

<strong>Tomography</strong> using Multibaseline L-band Data,” IEEE Trans. Geosci.<br />

Remote Sensing, vol. 38, pp. 2142–2152, September 2000.<br />

[2] F. Lombardini and A. Reigber, “Adaptive Spectral Estimation for<br />

Multibaseline <strong>SAR</strong> <strong>Tomography</strong> with Airborne L-band Data,” in Proc.<br />

IGARSS’03, (Toulouse, France), July 2003.<br />

[3] S. Guillaso and A. Reigber, “<strong>Polarimetric</strong> <strong>SAR</strong> <strong>Tomography</strong>,” in Proc.<br />

POLI<strong>SAR</strong>’05, (Frascati, Italy), 2005.<br />

[4] S. Guillaso, A. Reigber, and L. Ferro-Famil, “Evaluation of the ESPRIT<br />

Approach in <strong>Polarimetric</strong> Interferometric <strong>SAR</strong>,” in Proc. IGARSS’05,<br />

(Seoul, Korea), Jul. 2005.<br />

[5] P. Stoica and R. Moses, Introduction to Spectral Analysis. N. J.: Prentice<br />

Hall, 1997.<br />

[6] A. Reigber, P. Prats, and J. J. Mallorqui, “Refined estimation of<br />

time-varying baseline errors in airborne <strong>SAR</strong> interferometry,” in Proc.<br />

IGARSS’05, (Seoul, Korea), Jul. 2005.<br />

[7] S. R. Cloude and E. Pottier, “An Entropy Based Classification Scheme<br />

for Land Applications of <strong>Polarimetric</strong> <strong>SAR</strong>,” IEEE Trans. Geosci. Remote<br />

Sensing, vol. 35, pp. 68–78, Jan. 1997.<br />

[8] E. Ferrara and T. Parks, “Direction finding with an array of antennas<br />

having diverse polarizations,” IEEE Trans. Antennas Propagat., vol.AP-<br />

31, pp. 231–236, March 1983.

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