New method for polarimetric SAR scattering mechanism classification

Scattering mechanism identification is an important issue in polarimetric SAR imagery. In this study, we propose a new method for target scattering mechanism classification for the first time. Based on several typical scattering models, including the X-Bragg scattering model, Fresnel reflection model, and volume scattering models, a new polarimetric scattering classification diagram is proposed. It consists of two parameters, i.e., the Bragg alpha angle and a new parameter which is proposed for the first time and can be used to represent backscattering randomness. Results are demonstrated and validated on RADARSAT-2 data of the San Francisco area to illustrate its effectiveness.

[1]  Jian Yang,et al.  New method for symmetric target scattering characterization in polarimetric SAR images , 2013, Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).

[2]  S. Cloude.  Polarisation: Applications in Remote Sensing , 2009 .

[3]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[4]  Shane Cloude,et al.  A new parameter for soil moisture estimation , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[5]  Thomas L. Ainsworth,et al.  Polarimetric SAR data compensation for terrain azimuth slope variation , 2000, IEEE Trans. Geosci. Remote. Sens..

[6]  Anthony Freeman,et al.  Fitting a Two-Component Scattering Model to Polarimetric SAR Data From Forests , 2007, IEEE Transactions on Geoscience and Remote Sensing.

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

[8]  Jian Yang,et al.  The Extended Bragg Scattering Model-Based Method for Ship and Oil-Spill Observation Using Compact Polarimetric SAR , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.