Classification of Hyper spectral Image Using Support Vector Machine and Marker-Controlled Watershed

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-27 Number-2
Year of Publication : 2015
Authors : Murinto, Nur Rochmah DPA
DOI :  10.14445/22312803/IJCTT-V27P112


Murinto, Nur Rochmah DPA "Classification of Hyper spectral Image Using Support Vector Machine and Marker-Controlled Watershed". International Journal of Computer Trends and Technology (IJCTT) V27(2):70-75, September 2015. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
This research discuss the classification method observed which combined spatial information and spectral. There are three steps in the technique applied in this research. First, conduct the classification based on pixels hyperspectral image using suport vector machine (SVM). Second, the spacial contextual is used to rise the clasification result accuracy through the segmentation of hiperspektral image using the markercontrolled watershed method. Third, classsification based on pixel and image segmentation on the first step and the second, combined the result to aim the last map classification using the majority vote approach. The result finding obtained by using the hyperspectral image Aviris Indian Pines show the accuracy improvement compared with the classification using only the spectral information.

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Classification, hyperspectral image, marker-controlled watershed, support vector machine.