Edge detection applied to satellite imagery of the oceans

Author

Holyer, Ronald J. ; Peckinpaugh, Sarah H.

Author_Institution

US Dept. of the Navy, Stennis Space Center, MS, USA

Volume

27

Issue

1

fYear

1989

fDate

1/1/1989 12:00:00 AM

Firstpage

46

Lastpage

56

Abstract

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

Keywords

computerised pattern recognition; computerised picture processing; geophysics computing; oceanographic techniques; remote sensing; GLC matrix; IR method; automatic delineation; cluster shade texture; computer algorithm; computerised pattern recognition; digital image; edge detection; edge detector; gray level cooccurrence matrix; measurement technique; mesoscale structure; ocean remote sensing; satellite imagery; thermal imagery; thermal structure; Application software; Clustering algorithms; Detectors; Image edge detection; Image texture analysis; Infrared imaging; Oceans; Optical computing; Satellites; Sea measurements;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.20274

Filename

20274