DocumentCode :
2349949
Title :
Texture Based Approach for Cloud Classification Using SVM
Author :
Chethan, H.K. ; Raghavendra, R. ; Kumar, G. Hemantha
Author_Institution :
Dept of studies in Comput. Sci., Univ. of Mysore, Mysore, India
fYear :
2009
fDate :
27-28 Oct. 2009
Firstpage :
688
Lastpage :
690
Abstract :
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.
Keywords :
clouds; geophysical signal processing; image classification; radial basis function networks; support vector machines; Gaussian-RBF kernel; SVM; cloud analysis; cloud classification; information automatic extraction; support vector machines; Clouds; Data mining; Image databases; Information analysis; Kernel; Meteorology; Polynomials; Spatial databases; Support vector machine classification; Support vector machines; Cloud; Gaussian RBF Kernel; Support Vector Machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
Conference_Location :
Kottayam, Kerala
Print_ISBN :
978-1-4244-5104-3
Electronic_ISBN :
978-0-7695-3845-7
Type :
conf
DOI :
10.1109/ARTCom.2009.43
Filename :
5328959
Link To Document :
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