DocumentCode :
291450
Title :
Tracking cloud systems using ERBE scanner data: image construction and segmentation
Author :
Cady, Sharon ; Barkstrom, Bruce R. ; Matthias, Larry
Author_Institution :
Sci. Applications Int. Corp., Hampton, VA, USA
Volume :
1
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
419
Abstract :
Satellite and other types of images are familiar fools to most weather forecasters. Visual analysis of the moving patterns which appear in the images is used together with the forecaster´s experience to guide in the forecasting of weather trends. Indeed, it is relatively easy for those interested in the weather to get a sense of cloud cover, cold fronts, rising humidities, etc., from images commonly seen on television. Although some of these atmospheric patterns are fairly recognizable from everyday experience, there has been relatively little research in the area of using automated methods to quantify these patterns on a global scale. The authors present their application of image segmentation to images built from global satellite observations over an extended time period. These techniques are the first steps in tracking the life histories of cloud systems
Keywords :
atmospheric techniques; clouds; geophysical signal processing; image registration; image segmentation; infrared imaging; meteorology; motion estimation; remote sensing; ERBE; atmosphere; automated method; cloud system tracking; geophysical measurement technique; global scale; image construction; image processing; image registration; image segmentation; meteorology cloud; motion estimation; moving pattern; remote sensing; Clouds; History; Humidity; Image analysis; Image segmentation; Pattern analysis; Pattern recognition; Satellite broadcasting; TV; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399140
Filename :
399140
Link To Document :
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