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Cloud classification using support vector machines

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2 Author(s)
Azimi-Sadjadi, M.R. ; Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO, USA ; Zekavat, S.A.

Cloud classification from GOES 8 (Geostationary Operational Environmental Satellite) imagery data is performed using the infrared (IR) channel only. For each block of the image, first and second order statistics are extracted and used to train and test a classifier. In this paper, cloud classification is performed using a support vector machine (SVM) classifier. This scheme, which is typically used to solve two-class problems, has been extended to classify ten different cloud and no-cloud areas. Preliminary results indicate the promise of this method for meteorological applications

Published in:

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International  (Volume:2 )

Date of Conference:

2000