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Detection of Moroccan coastal upwelling using the alpha blending fusion technique of sea surface chlorophyll images and sea surface temperature images

机译:使用海面叶绿素图像和海面温度图像的alpha混合融合技术检测摩洛哥沿海上升流

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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.
机译:本文的目的是通过使用图像融合概念来改进对摩洛哥沿海上升流区位置的决策。实际上,可以通过遥感海表叶绿素(SSC)或海表温度图像来检测该区域。在这种情况下,我们针对这两种参数的每种类型处理了2014年的46张图像,以便将它们组合成更富信息性和更适合视觉感知的单个图像。因此,在这项工作中,我们提出了一种使用Alpha Blending技术集进行特征级融合的集成算法,以确定效率和舒适地受过教育的区域。输出图像已由海洋学家测试和验证。他证明了我们提出的方法论给出了令人满意和令人鼓舞的结果。

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