Classification of cloud patterns in weather satellite imagery using adaptive algorithms

Author

Lindquist, Claude S. ; Tealdi, Daniel A.

Author_Institution

Dept. of Electr. & Comput. Eng., Miami Univ., FL, USA

Volume

1

fYear

1996

fDate

23-26 Sep 1996

Firstpage

40

Abstract

The use of weather satellite imagery continues to grow. The development of image processing algorithms for automated analysis is therefore becoming increasingly important. This paper presents adaptive algorithms appropriate for analyzing cloud patterns in weather satellite images. The authors´ emphasis is on creating the proper algorithms rather than developing industrial-grade analysis systems. An illustrative example using weather satellite images is presented to demonstrate these algorithms

Keywords

adaptive signal processing; atmospheric techniques; clouds; geophysical signal processing; image classification; remote sensing; adaptive algorithm; adaptive signal processing; atmosphere; automated analysis; cloud; image classification; image processing; image recognition; measurement technique; optical imaging; pattern recognition; remote sensing; weather satellite imagery; Adaptive algorithm; Algorithm design and analysis; Artificial satellites; Clouds; Equations; Image analysis; Image edge detection; Image processing; Image segmentation; Pattern analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings

Conference_Location

Fort Lauderdale, FL

Print_ISBN

0-7803-3519-8

Type

conf

DOI

10.1109/OCEANS.1996.572445

Filename

572445