Cloud classification using passive microwave satellite measurements from the SSM/I radiometer

Author

Col, Bruno ; Mouchot, Marie Catherine

Author_Institution

Telecom Bretagne, Brest, France

Volume

3

fYear

34881

fDate

10-14 Jul1995

Firstpage

1889

Abstract

A cloud classification scheme is developed to be used with the SSM/I measurements in association with the METEOSAT classification. Before classifying SSM/I data, an objective technique is applied to enhance spatial resolution of measurements to the resolution of the 37 GHz channel. Different classification algorithms have been performed. The fuzzy C-Mean algorithm seems to provide the best match with the METEOSAT classification, used as the ground truth

Keywords

atmospheric techniques; clouds; fuzzy set theory; geophysical signal processing; image classification; meteorology; microwave measurement; millimetre wave measurement; optical information processing; radiometry; remote sensing; sensor fusion; 37 GHz; EHF; METEOSAT; SSM/I; atmosphere meteorology; cloud; cloud classification scheme; fuzzy C-Mean algorithm; image classification; image processing; measurement technique; millimetric radiometry; mm wave; optical imaging; passive microwave method; radiometry; satellite remote sensing; sensor fusion; spatial resolution; Atmospheric measurements; Clouds; Frequency measurement; Geophysical measurements; Microwave measurements; Microwave radiometry; Microwave sensors; Satellite broadcasting; Spatial resolution; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.524057

Filename

524057