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Material reflectance retrieval in urban tree shadows with physics-based empirical atmospheric correction

机译:基于物理学的经验大气校正的城市树阴影材料反射率检索

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Material reflectance retrieval from high spatial resolution acquisitions over urban areas requires an accurate modeling of the signal accounting for the 3D environment. Especially in tree shadows, the solar radiation incident to the ground contributing to the estimation of the reflectance has many origins linked to the plant structure and its composition. In this paper, the 3D atmospheric correction code, ICARE, limited to opaque structures like buildings, is improved thanks to an empirical correction factor taking into account the porosity of a tree crown. The validation of this method is assessed through a dataset combining a hyper spectral image and a 3D model of the scene.
机译:来自城市地区的高空间分辨率采集的材料反射率检索需要准确地建模3D环境的信号核对。特别是在树阴影中,引发到地面的太阳辐射有助于估计反射率有许多源于与植物结构及其组成相关的起源。在本文中,由于考虑到树冠的孔隙率,所以改善了3D大气校正码,仅限于建筑物等不透明结构的透明结构。通过组合超光谱图像和场景的3D模型的数据集来评估该方法的验证。

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