Abstract
Maltese Front location statistics are obtained from multichannel sea-surface temperature (MCSST) images, derived from Advanced Very High Resolution Radiometer (AVHRR) observations of the Mediterranean Sea during March 3 through September 27, 1993. The statistics are based on semiautomated determinations of the Front's sea-surface temperature surface expression. Expert analyses from the Naval Oceanographic Office give an accuracy check. Expert techniques are largely manual, labor-intensive, subjective, and skill-dependent; therefore, automation could be beneficial. A mathematical morphology-based method successfully delineates the Front. It finds the temperature gradients most likely to be the Front's and presents the corresponding segmentations to the operator. The method was developed to find stars in astronomical images, and has successfully analyzed solar magnetograms and satellite Gulf Stream images. Rings, fronts, and sunspots are not star-like, but simple preprocessing adapts the technique to these problem domains. This work constitutes another successful application. The success in "moving" the technique is encouraging. The Maltese Front's thermal gradients are 5-10 times weaker than the Gulf Stream North Wall's, yet the method produces useful results, and it may work in other regions.
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