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首页> 外文期刊>International journal of remote sensing >Modelling of radiative transfer of natural surfaces in the solar radiation spectrum: development of a satellite data simulator (SDDS)
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Modelling of radiative transfer of natural surfaces in the solar radiation spectrum: development of a satellite data simulator (SDDS)

机译:模拟太阳辐射光谱中自然表面的辐射传递:卫星数据模拟器(SDDS)的开发

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摘要

The paper presents a newly developed radiative transfer model (SDDS) that simulates the reflected and emitted radiations of natural scenes with atmosphere from the visible to infrared spectrum. The software, SDDS, written in Visual Basic~®, simulates the radiation transfer processes in the 'Earth-atmosphere' system, and calculates the interaction between electromagnetic rays and the elements of the terrestrial medium. Its approach combines analytical and spatial discretization approaches, working with natural and urban landscapes. The Earth scene is discretized as a matrix of cells, the type of each cell being defined by the material it contains, and thus a cell can be 'soil', 'vegetation', 'water', etc. Rays are tracked in the Earth scene until their energy is smaller than a previously defined threshold. The intercepted rays are stored in the cells and are scattered later to the other layers of the scene. SDDS can be used to provide simulated satellite data under different conditions (view directions, spatial resolutions, atmosphere, etc.) and for different types of sensors, while addressing problems of identification and classification in satellite imagery. A range of possible applications of this model is highlighted, and further work needed for 3D modelling is also discussed. The first validation tests against other models are very encouraging.
机译:本文提出了一种新开发的辐射传递模型(SDDS),该模型可以模拟自然场景在从可见光谱到红外光谱的大气中的反射和辐射。用Visual Basic〜®编写的SDDS软件可以模拟“地球大气”系统中的辐射传输过程,并计算电磁射线与地面介质元素之间的相互作用。它的方法结合了分析和空间离散化方法,适用于自然和城市景观。地球场景以细胞矩阵离散化,每个细胞的类型由其包含的材料定义,因此一个细胞可以是“土壤”,“植被”,“水”等。在地球中跟踪光线直到它们的能量小于先前定义的阈值。截获的光线存储在单元中,并在以后散射到场景的其他层。 SDDS可用于在不同条件(视线方向,空间分辨率,大气等)下为不同类型的传感器提供模拟卫星数据,同时解决卫星图像中的识别和分类问题。着重介绍了该模型的可能应用范围,并讨论了3D建模所需的进一步工作。针对其他模型的首次验证测试非常令人鼓舞。

著录项

  • 来源
    《International journal of remote sensing》 |2014年第4期|1199-1216|共18页
  • 作者单位

    Departement de physique, Laboratoire d'analyse et d'applications des rayonnements, USTMB Oran, BP 1505 El Mnaouer, Oran, Algeria;

    Faculte des Sciences Biologiques, Universite des Sciences et Technologie Houari Boumediene, BP 32, El Alia, Alger, Algeria;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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