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Automatic Sun Glint Removal of Multispectral High-Resolution Worldview-2 Imagery for Retrieving Coastal Shallow Water Parameters

机译:自动去除多光谱高分辨率Worldview-2影像的太阳眩光,以检索沿海浅水参数

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Remote sensing of coastal areas requires multispectral satellite images with a high spatial resolution. In this sense, WorldView-2 is a very high resolution satellite, which provides an advanced multispectral sensor with eight narrow bands, allowing the proliferation of new environmental monitoring and mapping applications in shallow coastal ecosystems. These challenges need the accurate determination of the water radiance, which is not often valued compared to other sources such as atmosphere and specular water reflection (sun glint). In this context, the atmospheric correction and the glinting removal have demonstrated to be critical steps in the preprocessing chain of high resolution images. In this work, the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) is used to compensate the atmospheric effects and to compute part of the deglinting algorithm using the modeled direct normalized irradiance. This paper describes a novel automatic deglinting procedure, integrated in the Radiative Transfer Modeling (RTM) inversion of the shallow water environments, which allows computing the water Inherent Optical Properties (IOPs), bathymetry and seafloor albedo contributions. The proposed methodology has demonstrated a proper performance for environmental monitoring in shallow water areas.
机译:沿海地区的遥感需要具有高空间分辨率的多光谱卫星图像。从这个意义上讲,WorldView-2是一种高分辨率的卫星,可提供具有八个窄带的先进多光谱传感器,从而可以在沿海浅水生态系统中推广新的环境监测和制图应用。这些挑战需要准确确定水的辐射度,与其他来源(例如大气和镜面水反射(阳光闪烁))相比,水辐射度通常不被重视。在这种情况下,大气校正和闪光消除已被证明是高分辨率图像预处理链中的关键步骤。在这项工作中,使用太阳光谱(6S)中的卫星信号的第二次模拟来补偿大气影响并使用建模的直接归一化辐照度来计算部分倾斜算法。本文介绍了一种新颖的自动脱胶程序,该程序已集成到浅水环境的辐射传递建模(RTM)反演中,从而可以计算水的固有光学特性(IOP),测深法和海底反照率。所提出的方法论证明了在浅水区进行环境监测的适当性能。

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