Title :
Semi-automated Maltese front position determination
Author :
Lea, Suzanne M. ; Lybanon, Matthew
Author_Institution :
Dept. of Math. Sci., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
The authors investigate the reliability of a semi-automated system designed to locate the Maltese front from satellite AVHRR and SAR imagery. The opening and closing operations of mathematical morphology afford a means of image segmentation that provides smooth, strong, continuous edges except where the edges are obscured by clouds or similar phenomena. The authors evaluate the results by comparing them with front positions found by experienced Navy analysts. Their system provides an objective method for front location that is less labor-intensive than manual methods currently in use
Keywords :
geophysical signal processing; image recognition; oceanographic regions; oceanographic techniques; radar imaging; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; AVHRR; IR imaging; Malta; Maltese front; Mediterranean Sea; SAR; SST; circulation; image processing; image recognition; measurement technique; ocean; pattern recognition; position determination; radar imaging; radar remote sensing; remote sensing; sea surface temperature; semiautomated method; synthetic aperture radar; thermohaline structure; Laboratories; Ocean temperature; Predictive models; Remote sensing; Rough surfaces; Satellite broadcasting; Sea surface; Sea surface roughness; Surface roughness; Synthetic aperture radar;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711960
