Title :
Cloudiness analysis by using all sky camera images
Author :
Baslar, Ismail ; Helhel, Selcuk ; Ozisik, Tuncay ; Kahya, Gizem
Author_Institution :
TUBITAK Ulusal Gozlemevi, Antalya, Turkey
Abstract :
Cloud detection is an important subject for both present observatories and observatory site selection. Nowadays cloud detection using all sky cameras is the most promising method by the help of sophisticated cameras. In this work we propose a cloudiness analysis methods which uses all sky camera images. Daytime and night time images were classified according to their present time duration, and different approaches have been applied to analyze them. It has been observed that this classification increases cloud detection performances.
Keywords :
atmospheric techniques; clouds; geophysical image processing; geophysics computing; image classification; all sky camera image; cloud detection; cloudiness analysis; image classification; observatory site selection; Cameras; Conferences; Educational institutions; Image color analysis; Observatories; Signal processing; all sky camera; cloudiness analysis; color space; image processing;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830185