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首页> 外文期刊>Meteorology and Atmospheric Physics >ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas
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ICARE: A physically-based model to correct atmospheric and geometric effects from high spatial and spectral remote sensing images over 3D urban areas

机译：ICARE：一种基于物理的模型，可校正3D城市区域中来自高空间和光谱遥感图像的大气和几何影响

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摘要

Automatic mapping of urban materials from remotely sensed radiance images remains difficult because of the complex phenomena induced by relief. Indeed, shadows and environment effects disrupt the radiance reaching the sensor. The measured radiance also depends on the illumination conditions of the observed area. This paper describes a new physical model, ICARE, able to solve the radiative transfer inversion problem in urban areas, in the reflective domain (0.4-2.5 om), from high spatial and spectral resolution images. This new approach takes into account the relief, the spatial heterogeneity of the scene and atmospheric effects, in order to extract rigorously the ground surface reflectance. The resolution method consists of modelling separately the irradiance and radiance components at ground and sensor levels. Three input data are required to solve this inverse problem: atmospheric parameters (aerosol type and visibility), 3D digital vector models of the scene, and spectral at-sensor calibratedimages of the scene. The validation of ICARE is checked through the CAPITOUL field campaign, carried out over Toulouse (France). Measurements were performed using two airborne Pelican image systems consisting of 8 high spatial (20 cm) and spectral (30 nm) resolution cameras. Results are presented over typical urban structures in Toulouse center. ICARE performance is expected to be better than 0.04 in the reflectance retrieval, even in shadowed areas. To quantify the gain brought by ICARE, a comparison between classification based on radiance and retrieved reflectance images, obtained by inversion, is introduced. The results show that the classification is improved from 54% for a flat ground assumption to 74% using ICARE.
机译：由于救济引起的复杂现象，从遥感辐射图像自动绘制城市材料仍然很困难。实际上，阴影和环境影响会破坏到达传感器的辐射。测得的辐射率还取决于观察区域的照明条件。本文介绍了一种新的物理模型ICARE，该模型可以从高空间和光谱分辨率的图像中解决反射区域（0.4-2.5 om）中城市区域的辐射传递反演问题。这种新方法考虑了地形，场景的空间异质性和大气效应，以便严格提取地面反射率。分辨率方法包括分别对地面和传感器级别的辐照度和辐射度分量进行建模。解决此反问题需要三个输入数据：大气参数（气溶胶类型和能见度），场景的3D数字矢量模型以及场景的光谱传感器校准图像。 ICARE的验证通过在法国图卢兹进行的CAPITOUL现场活动进行检查。使用两个由8台高空间（20 cm）和光谱（30 nm）分辨率相机组成的机载Pelican影像系统进行测量。结果在图卢兹中心的典型城市结构中呈现。在反射率检索中，即使在阴影区域，ICARE性能也有望优于0.04。为了量化ICARE带来的增益，引入了基于辐射度的分类与通过反演获得的反射率图像之间的比较。结果表明，使用ICARE，分类从假设平坦的54％提高到74％。

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