Title :
An analysis of the eigenvalues method for polarimetric SAR image classification
Author :
Gou, S.P. ; Qiao, Xin ; Jiao, L.C.
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´´an, China
Abstract :
In this paper, we focus on the distribution of eigenvalues, and based on Gaussian assumption, then we do an analysis of the eigenvalues potential for POL-SAR classification. Generally, we use Gaussian mixture model to describe the distribution of the eigenvalue and Bayesian classifier to achieve the POL-SAR pixel classification. The method is tested with the NASA/JPL AIRSAR data.
Keywords :
Bayes methods; Gaussian processes; eigenvalues and eigenfunctions; image classification; radar imaging; radar polarimetry; synthetic aperture radar; Bayesian classifier; Gaussian assumption; Gaussian mixture model; POL-SAR classification; eigenvalues method; polarimetric SAR image classification; radar polarimetry; synthetic aperture radar; Decision support systems; Bayesian classifier; GMM; POL-SAR; classification; eigenvalue;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049158
