Title :
A comparative analysis of supervised land cover classification using multi-polarized PALSAR EM image fusion
Author :
Mittel, Vikas ; Singh, D. ; Saini, L.M.
Author_Institution :
ECE Deptt., N.I.T. Kurukshetra, Kurukshetra, India
Abstract :
Complementary information contained in each of the individual polarization mode of fully polarimetric PALSAR data is fused using Expectation Maximization (EM) algorithm to improve information contents in the fused image. A comparative analysis of supervised classifiers viz. parallelepiped and minimum distance is accomplished to assess the suitability of the particular classifier. It is also demonstrated that fusion indeed improves various figures of merit such as producer, user and overall accuracies.
Keywords :
data analysis; expectation-maximisation algorithm; geophysical image processing; image fusion; land cover; pattern classification; synthetic aperture radar; classifier; complementary information; expectation maximization algorithm; individual polarization mode; land cover classification; merit figure; multipolarized PALSAR EM image fusion; polarimetric PALSAR data; producer; user; Accuracy; Buildings; Classification algorithms; Image fusion; Remote sensing; Scattering; Synthetic aperture radar; Expectation maximization method; PALSAR image data; land cover classification; multi-polarized image fusion; supervised classification algorithms;
Conference_Titel :
Industrial and Information Systems (ICIIS), 2014 9th International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4799-6499-4
DOI :
10.1109/ICIINFS.2014.7036514
