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Combination of region-based and pixel-based hyperspectral image classification using erosion technique and MRF model

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3 Author(s)
M. Khodadadzadeh ; Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran ; R. Rajabi ; H. Ghassemian

Image classification plays an important role in remote sensing applications. Current paper presents a new spectral-spatial classification of hyperspectral data. This approach is based on combination of region-based and pixel-based methods. Erosion technique is used for extracting uncertain pixels from initially segmented image. These uncertain pixels are classified using pixel-based classification method. In pixel-based classification stage, Markov random field (MRF) model integrates contextual information into a classifier under a Bayesian framework. Experimental results show that this method can perform better in comparison with the conventional pixel-based MRF method and maximum likelihood (ML) classification.

Published in:

2010 18th Iranian Conference on Electrical Engineering

Date of Conference:

11-13 May 2010