Remote Sensing Applications and Decision Support

Parameter estimation for polarimetric synthetic aperture radar imagery based on the zr log z moments

[+] Author Affiliations
Hao-gui Cui, Tao Liu, Yu-zhong Jiang, Jun Gao

Naval University of Engineering, School of Electronic Engineering, No. 717 Jiefang Road, Wuhan, Hubei 430033, China

J. Appl. Remote Sens. 9(1), 096045 (May 27, 2015). doi:10.1117/1.JRS.9.096045
History: Received August 20, 2014; Accepted April 10, 2015
Text Size: A A A

Abstract.  The K and G0 distributions are widely used to establish models for polarimetric synthetic aperture radar (PolSAR) data. The estimation of their texture parameters is an important factor in their utilization. Traditionally, the method of matrix log cumulants (MoMLC) is adopted for its low bias and variance properties. Recently, the MFM, which is an estimator based on fractional moments of the multilook polarimetric whitening filter (MPWF), is exploited due to its lower mean square error. However, these estimators are implemented by solving the implicit equations, which are computationally complicated. We propose two new estimators based on the zrlogz moments for each of the K and G0 distributions. Both estimators have analytical expressions, which allow rapid calculations. Using the simulated data, comparisons about the accuracy and speed are presented to demonstrate the performance of our estimators. The results show that the proposed estimators yield a faster calculating speed while retaining the accuracy. Finally, a goodness-of-fit test based on MLCs has been used to assess the fitting accuracy of the estimators for real PolSAR data, and the results are according to those from the simulated data.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Hao-gui Cui ; Tao Liu ; Yu-zhong Jiang and Jun Gao
"Parameter estimation for polarimetric synthetic aperture radar imagery based on the zr log z moments", J. Appl. Remote Sens. 9(1), 096045 (May 27, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096045


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.