Title :
A new approach to land-based cloud classification
Author :
Peura, Markus ; Visa, Ari ; Kostamo, IPekka
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
Land-based cloud-classification resolves details which are unavailable in operational satellite imagery. In this study, the emphasis is on single-channel image processing employing convolution masks and statistical measures. Experimental results of classification are examined as a means of deriving simplified cloud amount and class encoding similar to the internationally accepted practice
Keywords :
atmospheric techniques; clouds; geophysical signal processing; image processing; meteorology; pattern recognition; atmosphere; cloud amount; cloud class; convolution mask; image classification; land-based cloud classification; measurement technique; meteorology; single-channel image processing; statistical measure; Atmosphere; Atmospheric measurements; Clouds; Feature extraction; Image coding; Image processing; Image resolution; Information science; Laboratories; Satellites;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547250
