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Segmentation et classification des images satellitaires : application à la détection des zones d’upwelling côtier marocain et mise en place d’un logiciel de suivi spatiotemporel

机译:卫星图像的分割和分类:在摩洛哥沿海上升流区域的检测中的应用和时空监测软件的实现

摘要

The knowledge of the upwelling systems is very important for many applications in geophysical and oceanographic.The remotely sensed images acquired in real time allow to conduct continuous space maritime monitoring, especially in thermal and visible range, which provide information about the temperature distribution in the sea surface and the ocean colour. In this work, we are interested on the study of the upwelling phenomenon using the sea surface temperature images which is considered to be the origin of the formation of many ocean structures, such as thermal fronts, filaments, meanders and eddies. The main aim is to improve the visual interpretations of the satellite images made by the oceanographers. The proposed approach is based on the segmentation and detection of the thermal mesoscale structures in coastal upwelling waters using several methods in image processing and computer vision. In addition, the images processing methods based on the statistical physics and thermodynamics concepts were also used for the purpose of highlighting the turbulent and complex character of the marine phenomena. In this sense, the singularities points detected in infrared images, using the Microcanonical Multifractal Formalism, contain key information to understandingintermittencyandoceanicturbulence. A computational software system for the calculation of the upwelling index is made available for users in orders to extract and monitor the intensity and extension of upwelling along the Moroccan Atlantic coast. This application allows providing users continually by space synthetic products informing about environmental parameters and permitting to evaluate and to survey the coastal upwelling dynamic in space and time. Finally, a statistical study has been conducted in order to monitor the seasonal variability of the upwelling intensity along the Moroccan Atlantic coast by using well-established upwelling indices and consequently highlight the areas of highupwelling activity.
机译:上升流系统的知识对于地球物理和海洋学中的许多应用非常重要。实时获取的遥感图像可以进行连续的海上海洋监测,尤其是在热和可见范围内,从而提供有关海洋温度分布的信息表面和海洋的颜色。在这项工作中,我们对利用海表温度图像研究上升现象感兴趣,海表温度图像被认为是许多海洋结构形成的起源,例如热锋,细丝,曲折和涡流。主要目的是改善海洋学家对卫星图像的视觉解释。所提出的方法是基于使用图像处理和计算机视觉中的几种方法对沿海上升流中的热中尺度结构进行分割和检测。此外,基于统计物理学和热力学概念的图像处理方法也被用于强调海洋现象的湍流和复杂特征。从这个意义上讲,使用微规范的多重分形形式主义,在红外图像中检测到的奇异点包含了解间断的蓝绿色湍流的关键信息。用户可以使用计算软件系统来计算上升指数,以便提取和监视摩洛哥大西洋沿岸上升流的强度和延伸。该应用程序允许用户通过空间合成产品不断向用户提供有关环境参数的信息,并可以评估和调查沿时空变化的海岸上升动态。最后,进行了一项统计研究,以通过使用公认的上升指数监测摩洛哥大西洋沿岸上升趋势的季节变化,从而突出显示上升活动的区域。

著录项

  • 作者

    Tamim Ayoub;

  • 作者单位
  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 fr
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