DocumentCode
2468391
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
Volume
4
fYear
1996
fDate
25-29 Aug 1996
Firstpage
143
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547250
Filename
547250
Link To Document