Name
Title | ||
|---|---|---|
Detection of Moroccan coastal upwelling using the alpha blending fusion technique of sea surface chlorophyll images and sea surface temperature images |
Abstract | ||
|---|---|---|
The purpose of this paper is to improve decision making on the location of the Moroccan coastal upwelling zone by using image fusion concept. In fact, this area can be detected by remote sensing from sea surface chlorophyll (SSC) or sea surface temperature images. In this context, We processed 46 images of the year 2014 for each type of the two parameters in order to combine them into a single image more informative and suitable for visual perception. So, in this work, we propose an ensemble algorithm for feature level fusion using Alpha Blending technique set to determine efficiency and comfortably the educated region. The output images has been tested and validated by the oceanographer. He demonstrated that our proposed methodology gives satisfactory and promising results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ATSIP.2018.8364336 | 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | Field | DocType |
Moroccan Coastal Upwelling,Feature level fusion,Sea Surface Temperature image,Sea Surface Chlorophyll image,Alpha Blending technique | Alpha compositing,Sea surface temperature,Image fusion,Remote sensing,Fusion,Upwelling,Geology,Chlorophyll | Conference |
ISBN | Citations | PageRank |
978-1-5386-5240-4 | 0 | 0.34 |
References | Authors | |
2 | 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 |