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2009 International Conference on Advances in Recent Technologies in Communication and Computing
Texture Based Approach for Cloud Classification Using SVM
Kottayam, Kerala, India
October 27-October 28
ISBN: 978-0-7695-3845-7
| ASCII Text | x | ||
| H.K. Chethan, G. Hemantha Kumar, Raghavendra R., "Texture Based Approach for Cloud Classification Using SVM," Advances in Recent Technologies in Communication and Computing, International Conference on, pp. 688-690, 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ARTCom.2009.43, author = {H.K. Chethan and G. Hemantha Kumar and Raghavendra R.}, title = {Texture Based Approach for Cloud Classification Using SVM}, journal ={Advances in Recent Technologies in Communication and Computing, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3845-7}, pages = {688-690}, doi = {http://doi.ieeecomputersociety.org/10.1109/ARTCom.2009.43}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advances in Recent Technologies in Communication and Computing, International Conference on TI - Texture Based Approach for Cloud Classification Using SVM SN - 978-0-7695-3845-7 SP688 EP690 A1 - H.K. Chethan, A1 - G. Hemantha Kumar, A1 - Raghavendra R., PY - 2009 KW - Support Vector Machine KW - Gaussian RBF Kernel KW - Cloud VL - 0 JA - Advances in Recent Technologies in Communication and Computing, International Conference on ER - | |||
Cloud analysis provides information which is vital to the detection, understanding and prediction of meteorological trends and environmental changes. Cloud classification is needed for the purpose of achieving an automatic extraction of information on cloud occurrence and cloud types. In this work, we propose a method of cloud classification using textural feature based on Gabor transform and classification is carried out using powerful and elegant classifier known as Support Vector Machines(SVM) using Linear, Polynomial and Gaussian RBF Kernel. Extensive Experiments are carried out on large database of 500 cloud images collected from Kalpana -1 satellite. Experiments have shown the efficacy of the proposed method.
Index Terms:
Support Vector Machine, Gaussian RBF Kernel, Cloud
Citation:
H.K. Chethan, G. Hemantha Kumar, Raghavendra R., "Texture Based Approach for Cloud Classification Using SVM," artcom, pp.688-690, 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
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