Edge detection applied to satellite imagery of the oceans

A computer edge-detection algorithm for automatic delineation of mesoscale structure in digital satellite IR (infrared) images of the ocean is developed. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gradients to be useful in this applic...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 1989-01, Vol.27 (1), p.46-56
Main Authors: Holyer, R.J., Peckinpaugh, S.H.
Format: Article
Language:English
Subjects:
Application software
Clustering algorithms
Detectors
Earth, ocean, space
Exact sciences and technology
External geophysics
Image edge detection
Image texture analysis
Infrared imaging
Oceans
Optical computing
Other topics
Physics of the oceans
Satellites
Sea measurements
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Summary:A computer edge-detection algorithm for automatic delineation of mesoscale structure in digital satellite IR (infrared) images of the ocean is developed. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gradients to be useful in this application. The edge-detection algorithm is based on the gray level cooccurrence matrix (GLC), which is commonly used in image texture analysis. The cluster shade texture measure derived from the GLC matrix is found to be an excellent edge detector that exhibits the characteristic of fine-structure rejection while retaining edge sharpness. This characteristic is highly desirable for analyzing oceanographic satellite images.< >
ISSN:0196-2892
1558-0644
DOI:10.1109/36.20274