DocumentCode
2110935
Title
A novel technique for hurricane detection in Meteosat images by means of contour analysis
Author
Dell´Acqua, Fabio ; Gamba, Paolo
Author_Institution
Dept. of Electron., Pavia Univ., Italy
Volume
3
fYear
2001
fDate
2001
Firstpage
1512
Abstract
A novel, Fourier-based technique for shape description useful for detection and classification of meteorological objects as seen in remote sensed images is presented. A brief account of theoretical basis is provided then application on real data and corresponding results on hurricane detection are presented
Keywords
atmospheric techniques; feature extraction; geophysical signal processing; image classification; remote sensing; storms; Fourier method; Meteosat; atmosphere; contour analysis; detection; hurricane; image classification; image processing; meteorology; satellite remote sensing; shape description; storm; Data mining; Electrical capacitance tomography; Euclidean distance; Hurricanes; Image analysis; Meteorology; Postal services; Remote sensing; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.976895
Filename
976895
Link To Document