Title | ||
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A simple tool for automatic extraction of Moroccan coastal upwelling from Sea Surface Temperature images |
Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1109/SITA.2014.6847308 | Intelligent Systems: Theories and Applications |
Keywords | Field | DocType |
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,region-growing,segmentation,upwelling | Satellite,Sea surface temperature,Remote sensing,Advanced very-high-resolution radiometer,Upwelling,Geology | Conference |
Citations | PageRank | References |
1 | 0.48 | 9 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ayoub Tamim | 1 | 1 | 2.51 |
khalid minaoui | 2 | 1 | 0.48 |
Khalid Daoudi | 3 | 145 | 23.68 |
abderrahman atillah | 4 | 1 | 0.48 |
Hussein Yahia | 5 | 224 | 39.10 |
Driss Aboutajdine | 6 | 589 | 88.82 |
Mohammed Faouzi Smiej | 7 | 1 | 0.82 |