Title :
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
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;
Conference_Titel :
OCEANS '96. MTS/IEEE. Prospects for the 21st Century. Conference Proceedings
Conference_Location :
Fort Lauderdale, FL
Print_ISBN :
0-7803-3519-8
DOI :
10.1109/OCEANS.1996.572445
