Next Article in Journal
Previous Article in Journal
Remote Sens. 2013, 5(5), 2145-2163; doi:10.3390/rs5052145
Article

SAR Images Statistical Modeling and Classification Based on the Mixture of Alpha-Stable Distributions

1
, 1
, 1,*  and 2
Received: 14 March 2013; in revised form: 23 April 2013 / Accepted: 24 April 2013 / Published: 3 May 2013
View Full-Text   |   Download PDF [6240 KB, uploaded 19 June 2014]
Abstract: This paper proposes the mixture of Alpha-stable (MAS) distributions for modeling statistical property of Synthetic Aperture Radar (SAR) images in a supervised Markovian classification algorithm. Our work is motivated by the fact that natural scenes consist of various reflectors with different types that are typically concentrated within a small area, and SAR images generally exhibit sharp peaks, heavy tails, and even multimodal statistical property, especially at high resolution. Unimodal distributions do not fit such statistical property well, and thus a multimodal approach is necessary. Driven by the multimodality and impulsiveness of high resolution SAR images histogram, we utilize the mixture of Alpha-stable distributions to describe such characteristics. A pseudo-simulated annealing (PSA) estimator based on Markov chain Monte Carlo (MCMC) is present to efficiently estimate model parameters of the mixture of Alpha-stable distributions. To validate the proposed PSA estimator, we apply it to simulated data and compare its performance to that of a state-of-the-art estimator. Finally, we exploit the MAS distributions and a Markovian context for SAR images classification. The effectiveness of the proposed classifier is demonstrated by experiments on TerraSAR-X images, which verifies the validity of the MAS distributions for modeling and classification of SAR images.
Keywords: synthetic aperture radar; mixture of Alpha-stable distributions; parameter estimation; statistical modeling; classification synthetic aperture radar; mixture of Alpha-stable distributions; parameter estimation; statistical modeling; classification
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Peng, Y.; Chen, J.; Xu, X.; Pu, F. SAR Images Statistical Modeling and Classification Based on the Mixture of Alpha-Stable Distributions. Remote Sens. 2013, 5, 2145-2163.

AMA Style

Peng Y, Chen J, Xu X, Pu F. SAR Images Statistical Modeling and Classification Based on the Mixture of Alpha-Stable Distributions. Remote Sensing. 2013; 5(5):2145-2163.

Chicago/Turabian Style

Peng, Yijin; Chen, Jiayu; Xu, Xin; Pu, Fangling. 2013. "SAR Images Statistical Modeling and Classification Based on the Mixture of Alpha-Stable Distributions." Remote Sens. 5, no. 5: 2145-2163.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert