DocumentCode :
275584
Title :
Cloud cover estimation by analysing SPOT monochromatic images
Author :
Okemba, G. ; Deniau, P.
Author_Institution :
ENSEA Equipe Traitment des Images, Paris, France
fYear :
1989
fDate :
18-20 Jul 1989
Firstpage :
252
Lastpage :
256
Abstract :
Cloud detection is a very important part of Earth-atmosphere system study. The results of these studies lead to a lot of implications for climatology knowledge. There are also satellite image users who want to work with cloudless images. An automatic sorting technique is needed to separate a cloudless image from cloudy one by affecting it with a certain cloudiness index. The authors describe a technique called the `spatial coherence method´, which is based on the hypothesis that the cloudy structures are `irregularly shaped and structures highly structured objects against a relatively uniform background´. They build a monodimensional histogram of small local standard deviations of radiances
Keywords :
clouds; picture processing; remote sensing; Earth-atmosphere system; SPOT monochromatic images; climatology; cloud cover estimation; cloudiness index; radiances; remote sensing; satellite image; spatial coherence method;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1989., Third International Conference on
Conference_Location :
Warwick
Type :
conf
Filename :
132130
Link To Document :
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