JOURNAL ARTICLE

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.

Keywords:
Upwelling Image fusion Context (archaeology) Sea surface temperature Fusion Remote sensing Sensor fusion Computer science Artificial intelligence Feature (linguistics) Image (mathematics) Set (abstract data type) Computer vision Geology Oceanography

Metrics

12
Cited By
0.44
FWCI (Field Weighted Citation Impact)
16
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
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