Use of Hierarchical Stepwise Optimization for the Segmentation of Cloud Features
COMPUTER SCIENCES CORP MONTEREY CA
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The Hierarchical Stepwise Optimization algorithm of Beaulieu and Goldberg 1989 is applied to the segmentation of satellite images into meaningful, large scale cloud features. GOES-W visible imagery is used. Several different forms of the cost function are explored in an attempt to improve the segmentation of Nov. 15, 1983 case. A new cost function is shown to result in a superior segmentation. Both HSWO versions are tested on six additional cases. A modification to the HSWO approach is suggested for further research.