Title :
Land cover classification using EM algorithm based multi-polarized ALOS PALSAR image fusion
Author :
Mittal, Varun ; Singh, D. ; Saini, L.M.
Author_Institution :
ECE Deptt., N.I.T. Kurukshetra, Kurukshetra, India
Abstract :
In this paper, an attempt has been made to improve information of an image by fusion technique, so it may be more effectively used. Full polarimetric images of ALOS PALSAR are fused by exploiting the nice properties of Expectation Maximization (EM) algorithm. Maximum likelihood classifier is applied on the composite unfused singlet and fused doublet images and results are compared on the basis of producer, user, overall accuracies and Kappa Coefficient.
Keywords :
expectation-maximisation algorithm; geophysical image processing; image classification; image fusion; radar imaging; radar polarimetry; synthetic aperture radar; EM algorithm; Kappa coefficient; composite unfused singlet; expectation maximization algorithm; fused doublet imaging; land cover classification; maximum likelihood classifier; multipolarized ALOS PALSAR image fusion; Accuracy; Classification algorithms; Data integration; Image color analysis; Image fusion; Remote sensing; Synthetic aperture radar; EM algorithm; SAR imaging; image fusion; land cover classification;
Conference_Titel :
Microwave and Photonics (ICMAP), 2013 International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4799-2176-8
DOI :
10.1109/ICMAP.2013.6733503
