DocumentCode
1876794
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
fYear
2011
fDate
24-29 July 2011
Firstpage
436
Lastpage
439
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6049158
Filename
6049158
Link To Document