Paper Info
Title
On Detectability of Moroccan Coastal Upwelling in Sea Surface Temperature Satellite Images.
Abstract
This work aims at automatically identify the upwelling areas in coastal ocean of Morocco using the Sea Surface Temperature (SST) satellite images. This has been done by using the fuzzy clustering technique. The proposed approach is started with the application of Gustafson-Kessel clustering algorithm in order to detect groups in each SST image with homogenous and non-overlapping temperature, resulting in a c-partitioned labeled image. Cluster validity indices are used to select the c-partition that best reproduces the shape of upwelling areas. An area opening technique is developed that is used to filter out the residuals noise and fine structures in offshore waters not belonging to the upwelling regions. The developed algorithm is applied and adjusted over a database of 70 SST images from years 2007 and 2008, covering the southern part of Moroccan atlantic coast. The system was evaluated by an oceanographer and provided acceptable results for a wide variety of oceanographic conditions.
Year
DOI
Venue
2014
10.1007/978-3-319-14364-4_37
ADVANCES IN VISUAL COMPUTING (ISVC 2014), PT II
Keywords
Field
DocType
Upwelling,sea surface temperature,fuzzy clustering,Gustafson-Kessel clustering algorithm,validity indices,area opening
Fuzzy clustering,Satellite,Sea surface temperature,Pattern recognition,Computer science,Remote sensing,Upwelling,Artificial intelligence,Cluster analysis,Submarine pipeline
Conference
Volume
ISSN
Citations 
8888
0302-9743
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Ayoub Tamim112.51
Khalid Minaoui277.42
Khalid Daoudi314523.68
Abderrahman Atillah401.01
Driss Aboutajdine558988.82