DocumentCode :
169581
Title :
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
Link To Document :
بازگشت