Advances in Remote Sensing

Vol.6 No.1(2017), Paper ID 73980, 11 pages

DOI:10.4236/ars.2017.61005

 

Hyperspectral Image Classification Based on Hierarchical SVM Algorithm for Improving Overall Accuracy

 

Lida Hosseini, Ramin Shaghaghi Kandovan

 

Department of Communications, College of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
Department of Communications, College of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran

 

Copyright © 2017 Lida Hosseini, Ramin Shaghaghi Kandovan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Hosseini, L. and Shaghaghi Kandovan, R. (2017) Hyperspectral Image Classification Based on Hierarchical SVM Algorithm for Improving Overall Accuracy. Advances in Remote Sensing, 6, 66-75. doi: 10.4236/ars.2017.61005.

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