Polarization plane rotation effects on SAR polarimetric attributes

The polarization plane rotation effects on SAR polarimetric attributes are analyzed. This analysis is carried out by simulating a polarimetric SAR image containing four regions with different electric characteristic. The simulation process is based on an electromagnetic scattering model. Employing a rotation model is generated a image set having 361 images, where each image has it polarization plane rotated by a different angle. From all images of the set are computed the covariance matrix and six polarimetric attributes of each image region and compared with their correspondent parameter in the image without rotation. From this evaluation it could be seen that the rotation angle influences differently all polarimetric attributes. The effects of rotation angle can lead to a misunderstanding of the target scattering mechanism.

[1]  Sassan Saatchi,et al.  On the detection of Faraday rotation in linearly polarized L-band SAR backscatter signatures , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[2]  João Roberto dos Santos,et al.  Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[3]  M. Shimada,et al.  Application of algorithms for estimating surface soil moisture and roughness parameters using CRL/NASDA airborne SAR (PI-SAR) data , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[4]  Thomas L. Ainsworth,et al.  Unsupervised classification of polarimetric synthetic aperture Radar images using fuzzy clustering and EM clustering , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Dharmendra Singh,et al.  Microwave bistatic polarization measurements for retrieval of soil moisture using an incidence angle approach , 2007 .

[6]  Sidnei J. S. Sant'Anna,et al.  From Maxwell's Equations to Polarimetric SAR Images: A Simulation Approach , 2008, Sensors.

[7]  Eric Pottier,et al.  An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..