TU2.L09 - POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM

POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM My-Linh Truong-Loï, ONERA/CNES/IETR Pascale Dubois-Fernandez, ONERA Eric Pottier, IETR – UMR CNRS 6164 Anthony Freeman, JPL Jean-Claude Souyris, CNES

Objectives Missions dedicated to global environmental change monitoring Low frequency radar Ionosphere interaction  Faraday rotation Compact polarimetry Transmitting a circular polarized wave No depolarization anymore Receiving two orthogonal polarized waves Estimate Faraday rotation High power of penetration Dual-pol system Large swath Dual-pol system

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Background - Compact Polarimetry 1/2 ,[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Background - Compact Polarimetry 2/2 (1) J-C. Souyris, P. Imbo, R. FjØrtoft, S. Mingot and J-S. Lee, Compact Polarimetry Based on Symmetry Properties of Geophysical Media : The π/4 Mode , IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, Mars 2005. (2) P. C. Dubois-Fernandez, J-C. Souyris, S. Angelliaume et F. Garestier, The Compact Polarimetry Alternative for Spaceborne SAR at Low Frequency , IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 10, Octobre 2008. (3) R. K. Raney, Hybrid-Polarity SAR Architecture , IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 11, Novembre 2007.

Conclusion ,[object Object],[object Object],[object Object]

The conformity coefficient Double-bounce Volume Surface S HV ~ 0 S HH , S VV correlated Arg<S HH S VV *> ≈ 180° -1< μ < t 2 S HV is significant S HH , S VV less correlated t 2 < μ <t 1 S HV ~ 0 S HH , S VV correlated Arg<S HH S VV *> ≈ 0 t 1 < μ <1 ,[object Object],[object Object],[object Object],[object Object],M-L. Truong-Loï, A. Freeman, P. C. Dubois-Fernandez and E. Pottier, Estimation of Soil Moisture and Faraday Rotation From Bare Surfaces Using Compact Polarimetry , IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 11, Novembre 2009.

[object Object],[object Object],Conformity coefficient thresholds S V DB -1 -0.2 0.32 1

Conformity coefficient vs Cloude-Pottier and Freeman-Durden classifications, RAMSES P-band data over St Germain d’Esteuil, France S. R. Cloude et E. Pottier, A Review of Target Decomposition Theorems in Radar Polarimetry , IEEE Transactions on Geoscience and Remote Sensing, vol. 34, no. 2, Mars 1996. A. Freeman et S. L. Durden, A Three-Component Scattering Model for Polarimetric SAR Data , IEEE Transactions on Geoscience and Remote Sensing, vol. 36, no. 3, Mai 1998. ,[object Object],[object Object],[object Object],Conformity coefficient Cloude-Pottier classification Freeman-Durden classification Volume Double-bounce Surface

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Flow diagram of the process   e FP calibrated data (Ramses, PALSAR) Select bare surfaces (by using the conformity coefficient) Estimate the Faraday rotation Synthesized CP data (add Faraday rotation) ,[object Object],[object Object]

Faraday rotation estimate over PALSAR L-band data Full polarimetric data Over bare surfaces μ >0.2  Compact polarimetric data Thanks to the ASF for providing the data.

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

FP vs CP signatures S HV ~ 0 over bare soil surfaces Window size : 7x7 σ Hh / σ Rh σ Vv / σ Rv Stdv: <2dB σ Hh (dB) σ Rh (dB) 10 10 -30 -30 10 10 σ Vv (dB) σ Rv (dB)

FP vs CP soil moisture – Dubois et al. algorithm Stdv : 4% CP/FP soil moisture Estimated soil moisture CP & FP vs ground truth Stdv : 2% RAMSES L-band data, Le Moulin du Fâ, France AIRSAR/WASHITA L-band data over Chickasha area P. C. Dubois, J. van Zyl et T. Engman, Measuring Soil Moisture with Imaging Radars, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, no. 4, pp. 915-926, Juillet 1995. FP soil moisture 0 100% 100% CP soil moisture

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Backscattering coefficients vs measured biomass – RAMSES P-band data over Nezer forest (HV) (RR) (RH)

Biomass estimate vs in situ measurements – Nezer forest RMS error=6.25 tons/ha RMS error=6.63 tons/ha RMS error=12.2 tons/ha RMS error=5.8 tons/ha

Biomass map – Nezer forest Measured biomass 0 120 tons/ha

ROI biomass map – Nezer forest Measured biomass B HV B HV’ B RR

Compact-PolInSAR vs full-PolInSAR ,[object Object],[object Object]

PolInSAR applications – vegetation height estimate ,[object Object],T. Flynn, M. Tabb et R. Carande, Estimation of Coherence Region Shapes in Polarimetric SAR Interferometry , AIRSAR Workshop, Mars 2002.

Phase centers height (FP & CP) Phase centers height FP Phase centers height CP Nezer forest, P-band

Vegetation height – Nezer forest P-band S.R. Cloude and K.P. Papathanassiou, A 3-Stage Inversion Process for Polarimetric SAR Interferometry , IEE Proceedings Radar, Sonar & Navigation, vol. 150, no. 3, June 2003. RMS : 1m, Bias : 0,4m (FP) RMS : 1,1m, Bias : 0,4m (CP) RMS : 2,45m, Bias : -1,8m (FP) RMS : 2,5m, Bias : -1,78m (CP)

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Calibration of a CP system ,[object Object],[object Object],[object Object],α ~ 1 β ~ -jδ f 2 ~1

Calibration of a CP system ,[object Object],[object Object],[object Object],[object Object]

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

TU2.L09 - POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Ähnlich wie TU2.L09 - POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM

Ähnlich wie TU2.L09 - POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM (20)

Mehr von grssieee

Mehr von grssieee (20)

TU2.L09 - POTENTIALS OF A COMPACT POLARIMETRIC SAR SYSTEM

Hinweis der Redaktion