Detection of Moroccan coastal upwelling in SST images using the Expectation-Maximization

Author

Tamim, Ayoub ; Minaoui, Khalid ; Daoudi, Khalid ; Atillah, Abderrahman ; Aboutajdine, Driss

Author_Institution

Mohammed V-Agdal Univ., Rabat, Morocco

fYear

2015

fDate

25-26 March 2015

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

expectation-maximisation algorithm; geophysical image processing; image denoising; image segmentation; object detection; ocean temperature; oceanographic regions; oceanographic techniques; remote sensing; Davies-Bouldin-Dunn indices; Moroccan Atlantic coast; Moroccan coastal upwelling detection; SST images; SST satellite images; area opening technique; expectation-maximization algorithm; oceanographer; offshore waters; residual noise removal; sea surface temperature satellite images; unsupervised algorithm; upwelling region segmentation; Clouds; Clustering algorithms; Image segmentation; Indexes; Ocean temperature; Satellites; Sea measurements; Area opening; Davies-Bouldin index; Dunn index; Expectation-Maximisation; Sea Surface Temperature; Upwelling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Computer Vision (ISCV), 2015

Conference_Location

Fez

Print_ISBN

978-1-4799-7510-5

Type

conf

DOI

10.1109/ISACV.2015.7106195

Filename

7106195