Accession Number:

ADA238987

Title:

Use of Hierarchical Stepwise Optimization for the Segmentation of Cloud Features

Descriptive Note:

Final rept.,

Corporate Author:

COMPUTER SCIENCES CORP MONTEREY CA

Personal Author(s):

Report Date:

1991-03-01

Pagination or Media Count:

71.0

Abstract:

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.

Subject Categories:

  • Meteorology
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE