The PALSAR Polarimetric Mode for Sea Oil Slick Observation

A study on sea oil slick observation by means of L-band polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on different sea surface scattering mechanism expected with and without surface slicks. Polarimetric measurements are processed by means of a simple and very effective filtering technique which is electromagnetically based on the Mueller scattering matrix. Moreover, some polarimetric features, evaluated on both slick-free and slick-covered sea surfaces, are analyzed for confirming the filter output. Experiments are accomplished on the polarimetric SAR data acquired by the Phased Array-type L-band Synthetic Aperture Radar (PALSAR) sensor, mounted on board of the Advanced Land Observing Satellite (ALOS), and are relevant to oil slick, due to a tank accident, and look-alikes. Results demonstrate for the first time that L-band polarimetric SAR measurements are useful for oil slick observation purposes and witness the capability of the ALOS PALSAR data for such application.

[1]  J. Zyl,et al.  On the optimum polarizations of incoherently reflected waves , 1987 .

[2]  Irena Hajnsek,et al.  Removal of additive noise in polarimetric eigenvalue processing , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[3]  Maurizio Migliaccio,et al.  SAR Polarimetry to Observe Oil Spills , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Jong-Sen Lee,et al.  Polarimetric SAR speckle filtering and its implication for classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[5]  J. S. Lee,et al.  Mapping ocean surface features using biogenic slick-fields and SAR polarimetric decomposition techniques , 2006 .

[6]  Maurizio Migliaccio,et al.  On the co‐polarized phase difference for oil spill observation , 2009 .

[7]  J. Zyl,et al.  Unsupervised classification of scattering behavior using radar polarimetry data , 1989 .

[8]  Eric Pottier,et al.  A review of target decomposition theorems in radar polarimetry , 1996, IEEE Trans. Geosci. Remote. Sens..

[9]  J.S. Lee,et al.  Polarimetric SAR speckle filtering and its impact on classification , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[10]  Maurizio Migliaccio,et al.  The Two-Scale BPM Scattering Model for Sea Biogenic Slicks Contrast , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Maurizio Migliaccio,et al.  On the Mueller Scattering Matrix for SAR Sea Oil Slick Observation , 2008, IEEE Geoscience and Remote Sensing Letters.

[12]  M. Migliaccio,et al.  Polarimetric signature for oil spill observation , 2008, 2008 IEEE/OES US/EU-Baltic International Symposium.

[13]  D. Evans,et al.  Radar polarimetry: analysis tools and applications , 1988 .

[14]  Masanobu Shimada,et al.  PALSAR Radiometric and Geometric Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Irena Hajnsek,et al.  Inversion of surface parameters from polarimetric SAR , 2003, IEEE Trans. Geosci. Remote. Sens..

[16]  Heinrich Hühnerfuss,et al.  Imaging of biogenic and anthropogenic ocean surface films by the multifrequency/multipolarization SIR‐C/X‐SAR , 1998 .

[17]  Albert Guissard,et al.  Mueller and Kennaugh matrices in radar polarimetry , 1994, IEEE Trans. Geosci. Remote. Sens..