Three-Component Decomposition Based on Stokes Vector for Compact Polarimetric SAR

Sensors

Hanning Wang¹  Zhimin Zhou¹  John Turnbull³  Qian Song¹  Feng Qi² 

[1] School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China; E-Mails:;Key Laboratory of Opt-Electronic Information Processing, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110015, China; E-Mail:;Information Technology Services, University of Birmingham, Birmingham B152TT, UK; E-Mail:

关键词: compact polarimetric SAR;    Stokes vector;    three-component decomposition;    CTLR;    DCP;   

DOI  :  10.3390/s150924087

来源: mdpi

【 摘 要 】

In this paper, a three-component decomposition algorithm is proposed for processing compact polarimetric SAR images. By using the correspondence between the covariance matrix and the Stokes vector, three-component scattering models for CTLR and DCP modes are established. The explicit expression of decomposition results is then derived by setting the contribution of volume scattering as a free parameter. The degree of depolarization is taken as the upper bound of the free parameter, for the constraint that the weighting factor of each scattering component should be nonnegative. Several methods are investigated to estimate the free parameter suitable for decomposition. The feasibility of this algorithm is validated by AIRSAR data over San Francisco and RADARSAT-2 data over Flevoland.

【 授权许可】

CC BY   
© 2015 by the authors; license MDPI, Basel, Switzerland.