Edge detection applied to SST fieldsAn algorithm designed to detect fronts automatically in satellite-derived sea-surface temperature (SST) fields is presented. The algorithm is operated at different levels to detect and differentiate between false and true edges. For purposes of comparison, the algorithm is applied to a test set of 98 SST images to detect the northern edge of the Gulf Stream. The algorithm successfully detected valid temperature fronts and ignored false edges, and also produced statistics about the temperature fronts that are useful in the subsequent analysis of these fronts. It is assumed that the algorithm performs equally well on other SST fronts such as those associated with rings, the subtropical convergence, or the shelf/slope fronts.
Document ID
19910052215
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Cayula, Jean-Francois (Rhode Island Univ. Narragansett, RI, United States)
Cornillon, Peter (Rhode Island, University Narragansett, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1990
Subject Category
Oceanography
Meeting Information
Meeting: Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences