Title :
An improvement for the unsupervised Wishart Freeman classification with fully polarimetric SAR data
Author :
Cao, Fang ; Hong, Wen ; Pottier, Eric
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing, China
Abstract :
In this paper, we proposed an improvement for the Wishart Freeman classification, which is based on the Wishart distance measurement and the estimation algorithm of the number of clusters for fully polarimetric SAR data. Our experimental results show the effectiveness of the proposed method.
Keywords :
distance measurement; radar polarimetry; signal classification; synthetic aperture radar; Wishart Freeman classification; Wishart distance measurement; polarimetric SAR; unsupervised classification; Clustering algorithms; Estimation; Merging; Pixel; Remote sensing; Scattering; Speckle; Wishart Freeman classification; Wishart distance; data log-likelihood ratio; polarimetric SAR; unsupervised classification;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5651938
