Name
Title | ||
|---|---|---|
Delineation of Moroccan Coastal Upwelling Using The Principal Component Analysis Fusion Algorithm on SSC and SST Images |
Abstract | ||
|---|---|---|
The current paper presents a novel methodology with the goal of detecting the Moroccan coastal upwelling area. Realistically, our region of interest is characterized by lower temperature degree and higher chlorophyll concentration. The distribution of this two indicators in the ocean is observed by remote sensing from sea surface chlorophyll (SSC) and sea surface temperature (SST) images. In this context, we process 46 images of the year 2014 for each kind set to detect efficiently the desired zone by applying Principal Component Analysis fusion algorithm. The validation made by the oceanographer indicates that the results of our approach is promising in term of Moroccan coastal upwelling delimitation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISIVC.2018.8709227 | 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC) |
Keywords | Field | DocType |
Moroccan Coastal Upwelling,Principal Component Analysis,Sea Surface Temperature image,Sea Surface Chlorophyll image,spatial domain fusion | Sea surface temperature,Image fusion,Fusion,Algorithm,Upwelling,Chlorophyll concentration,Geology,Principal component analysis,Chlorophyll | Conference |
ISBN | Citations | PageRank |
978-1-5386-8174-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zineb El Abidi | 1 | 0 | 0.34 |
| Khalid Minaoui | 2 | 7 | 7.42 |
| Ayoub Tamim | 3 | 1 | 2.51 |
| Hicham Laanaya | 4 | 0 | 0.34 |