DocumentCode
819995
Title
Comparative study of two recent edge-detection algorithms designed to process sea-surface temperature fields
Author
Cayula, Jean-Franqois ; Cornillon, P. ; Holyer, Ronald ; Peckinpaugh, Sarah
Author_Institution
Graduate Sch. of Oceanogr., Rhode Island Univ., Narragansett, RI, USA
Volume
29
Issue
1
fYear
1991
fDate
1/1/1991 12:00:00 AM
Firstpage
175
Lastpage
177
Abstract
Two algorithms used for the detection of fronts in satellite-derived sea-surface temperature fields are compared. The two algorithms produced surprisingly comparable results considering the substantial differences in the two approaches: multilevel (Algorithm 1) versus locally based (Algorithm 2). Algorithm 1 offers the advantage of shorter run times. Algorithm 2 can be made faster if one is willing to accept less reliable edge detection. Algorithm 1 also offers the advantage of being adaptive and therefore automatic in its application to different data sets. However, when direct control with regard to detection of the edges is demanded, Algorithm 2 contains two tunable parameters to select the smoothness and the strength of edges, while Algorithm 1 as presently coded does not
Keywords
computerised pattern recognition; computerised picture processing; geophysics computing; remote sensing; temperature distribution; AD 1983 04 28; North Atlantic; data sets; edge-detection algorithms; fronts; image processing; run times; satellite-derived sea-surface temperature fields; sea-surface temperature fields; tunable parameters; Algorithm design and analysis; Clouds; Humans; Image edge detection; Ocean temperature; Pixel; Process design; Sea measurements; Sea surface; Shape;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.103308
Filename
103308
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