Classification of Hyper spectral Image Using Support Vector Machine and Marker-Controlled Watershed
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-27 Number-2 |
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| 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. www.ijcttjournal.org. 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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Keywords
Classification, hyperspectral image,
marker-controlled watershed, support vector machine.