- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2012 5 (5)
- Authors
- Romanov, Aleksey A.; Rubanov, Kirill A.
- Contact information
- Romanov, Aleksey A.: Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia , e-mail: ; Rubanov, Kirill A.: Siberian Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia
- Keywords
- remote sensing; pattern recognition; supervised classification; neural networks; support vector machine
- Abstract
This paper presents a comparative analysis of the effectiveness of the method of support vector machine and artificial neural networks for classification of satellite images medium spatial resolution as an example of a high degree of heterogeneity and limited training data. The results of field-based researches have been used for test cases generation. Neural network approach showed the best result for classification accuracy (89,9 % vs. 86,2 % support vector), but was significantly less speed.
- Pages
- 495-506
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/3194
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).