This document provides an overview of recent advances in polarimetric synthetic aperture radar (PolSAR) information extraction algorithms and applications presented at the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). It reviews developments in target decompositions, orientation angles, classification, segmentation, texture modeling, speckle filtering, compact polarimetry, and high-resolution PolSAR over the past five years. New satellite systems like ALOS, TerraSAR-X, and RADARSAT-2 have enabled applications in areas such as agriculture, forestry, geology and oceanography.

1. AN OVERVIEW OF RECENT ADVANCES IN POLARIMETRIC SAR INFORMATION EXTRACTION: ALGORITHMS AND APPLICATIONS IGARSS 2010 - Hawaii July 25 - July 30 Jong-Sen Lee*, Thomas Ainsworth Naval Research laboratory Washington DC 20375, USA

3. ALOS – PALSAR . (Launched in January 2006) Repeat cycle 46 days (Tomakomai, Japan) 20 m x 20 m resolution

4. TerraSAR – X . Launched in June 15, 2007 Dual - Pol (HH,VV), (HH,HV), (VH,VV) Quad-Pol (Experimental) Repeat cycle: 11 days 3 meter resolution

8. H Original (4-look) 5x5 9x9 H / A /   VERSUS MULTI-LOOKING A

13. Touzi Decomposition (Touzi, 2007) Cloude/Pottier: Symmetric Target Touzi Pauli Basis: Kennaugh-Huynen For asymmetric target

18. Polarization Orientation Angle Camp Roberts, CA.

19. Polarization Orientation Angle (POA) FLIGHT PO angles from C-band DEM C-Band DEM L-Band PolSAR derived PO angle PO angles derived By L-Band PolSAR PO angles derived from DEM of C-Band interferometry JPL AIRSAR L-Band PolSAR |HH-VV|, |HV|+|VH|, | HH+VV|

20. POA Compensation – Coherency T (Lee,2010) Rotation about LOS POA Estimation by Circular Pol Compensated results: 1) (= ) rotational invariant 2) (= ) always decreasing to minimum 3) (= ) consistently increasing because of pan and are roll invariant J.S. Lee and T.L. Ainsworth, “The effect of orientation angle compensation on coherency matrix and model-based decompositions”, IEEE TGRS, IGARSS2009 special issue, (in press).

22. The POA Compensation on Diagonal Terms , Orientation angle map After Before

23. B) Classification/Segmentation/Texture

24. UNSUPERVISED CLASSIFIER ( FREEMAN D. + WISHART) |HH-VV|, |HV |, |HH+VV| 4 th Iteration (15 classes) J.S. Lee, M.R. Grunes, E. Pottier, L. Ferro-Famil, “Unsupervised terrain classification preserving scattering characteristics,” IEEE Transactions on Geoscience and Remote Sensing,vol. 42, no.4, pp. 722-731, April, 2004.

25. DLR E-SAR L-Band Data Freeman Decomposition Classification Map Experimental Results – Oberphaffenhofen

29. C) Calibration/ Faraday Rotation

32. D) Speckle Filtering/ PolSAR Statistics

35. Improved Sigma Filter |HH-VV|, |HV|, |HH+VV| Original 5x5 Sigma Filtered (Lee, IGARSS2008)

37. E) Compact Polarimetry

41. F) High Resolution PolSAR

42. FSAR – “Future” Airborne SAR X-Band, PolSAR 2-Look, 0.5 m resolution , VV , HV , HH Images courtesy of Dr. Andreas Reigber, DLR, Germany

44. FSAR S-Band