Detection of Moroccan Coastal Upwelling in SST images using the Expectation-Maximization

被引：0
|
作者：
Tamim, Ayoub [1 ]
Minaoui, Khalid [1 ]
Daoudi, Khalid [2 ]
Atillah, Abderrahman [2 ]
Aboutajdine, Driss [1 ]
机构：
[1] INRIA Bordeaux Sud Ouest GEOSTAT Team, Talence, France
[2] Royal Ctr Remote Sensing CRTS, Rabat, Morocco
来源：
2015 INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV) | 2015年
关键词：
Upwelling; Sea Surface Temperature; Expectation-Maximisation; Davies-Bouldin index; Dunn index; Area opening; VALIDITY INDEX; FUZZY; ALGORITHM; AREAS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes an unsupervised algorithm for automatic detection and segmentation of upwelling region in Moroccan Atlantic coast using the Sea Surface Temperature (SST) satellite images. This has been done by exploring the Expectation-Maximization algorithm. The good number of clusters that best reproduces the shape of upwelling areas is selected by using the two popular Davies-Bouldin and Dunn indices. Area opening technique is developed that is used to remove and discarded the residuals noise in offshore waters not belonging to the upwelling region. The complete system has been validated by an oceanographer using a database of 30 SST images of the year 2007, demonstrating its capability and robustness for precise detection of Moroccan coastal upwelling.
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页数：5
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