A simple tool for automatic extraction of Moroccan coastal upwelling from Sea Surface Temperature images

Author

Tamim, Ayoub ; Minaoui, Khalid ; Daoudi, Khalid ; Atillah, Abderrahman ; Yahia, Hussein ; Aboutajdine, Driss ; Smiej, Mohammed Faouzi

Author_Institution

LRIT Assoc. Unit, Mohammed V-Agdal Univ., Rabat, Morocco

fYear

2014

fDate

7-8 May 2014

Firstpage

1

Lastpage

4

Abstract

This work aims at automatically identify and extract the region covered by the upwelling waters in the costal ocean of Morocco using the well-known region-growing segmentation algorithm. The later consists in coarse segmentation of upwelling area which characterized by cold and usually nutrient-rich water near the coast. The proposed approach has been validated by an oceanographer over a database of 30 Sea Surface Temperature (SST) satellite images of the year 2007 obtained from Advanced Very High Resolution Radiometer (AVHRR) sensor onboard NOAA-18 satellite serie. The results show a robustness and effectiveness to detect and reproduce the shape of upwelling area.

Keywords

feature extraction; image resolution; image segmentation; ocean temperature; radiometers; AVHRR; Moroccan coastal upwelling; SST satellite images; advanced very high resolution radiometer; automatic extraction; coarse segmentation; costal ocean; oceanographer; region growing segmentation algorithm; sea surface temperature; sea surface temperature images; simple tool; upwelling area; Clouds; Databases; Image segmentation; Ocean temperature; Sea measurements; Sea surface; AVHRR; Region-growing; Sea Surface Temperature; Segmentation; Upwelling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on

Conference_Location

Rabat

Print_ISBN

978-1-4799-3566-6

Type

conf

DOI

10.1109/SITA.2014.6847308

Filename

6847308