Using fuzzy mathematical morphology for locating tropical cyclones in satellite imagery

Author

Poon, Joe C H ; Chau, C.P. ; Ghadiali, MI

Author_Institution

Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong

Volume

2

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1353

Abstract

Fuzzy mathematical morphology is an important image analysis tool, especially so when processing images have a certain degree of ambiguity or fuzziness. As the shapes and features of the atmospheric systems observed in remote sensed satellite imagery are inherently ambiguous, fuzzy mathematical morphology seems an appropriate tool for feature extraction and segmentation. In this paper, an algorithm presented for extraction of tropical cyclones from satellite imagery. The segmentation technique is based on extracting the distinguishable features in a tropical cyclone and then making a decision based on the nature of extracted features

Keywords

feature extraction; fuzzy set theory; geophysical signal processing; image segmentation; mathematical morphology; remote sensing; storms; atmospheric systems; feature extraction; fuzzy mathematical morphology; image analysis tool; remote sensed imagery; satellite imagery; segmentation technique; tropical cyclone location; Feature extraction; Fuzzy set theory; Fuzzy sets; Image analysis; Image segmentation; Morphology; Satellite broadcasting; Satellite ground stations; Shape; Tropical cyclones;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.622116

Filename

622116