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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976895
