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Assessing the relationship between spatial features derived from high resolution satellite imagery and census variables in Accra, Ghana

机译:评估来自高分辨率卫星图像的空间特征与加纳阿克拉的人口普查变量之间的关系

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People living within cities tend to live near others who have similar characteristics such as socioeconomic status, religion or ethnicity. Generally the characteristics of these spatial groups manifest themselves at the neighborhood level and they live in similar dwellings. In this study we examine the ability to use spatial features and spectral information, derived from high spatial resolution satellite data, to map variations in dwellings to determine the amount of information we can derive about the people living within the city of Accra, Ghana. The spatial features examined are line support regions, PanTex, Histogram of Oriented Gradients, Local Binary Patterns, Hough and Fourier transforms, and the Normalized Difference Vegetation Index (NDVI). Results indicate that there are strong correlations between multiple spatial features and census variables at the neighborhood scale. This indicates that the spatial information derived from imagery can be used to map population characteristics at within city spatial scales.
机译:居住在城市中的人们倾向于与具有相似特征(例如社会经济地位,宗教或种族)的其他人居住。通常,这些空间群的特征在邻域层次上表现出来,它们生活在相似的住宅中。在这项研究中,我们研究了使用空间特征和光谱信息(从高空间分辨率的卫星数据中得出)来绘制住宅变化的能力,以确定我们可以从中获得的有关加纳阿克拉市居民的信息量。检查的空间特征是线支持区域,Pantex,定向梯度直方图,局部二元模式,霍夫和傅立叶变换以及归一化植被指数(NDVI)。结果表明,在邻里尺度上,多个空间特征与人口普查变量之间存在很强的相关性。这表明,从图像获得的空间信息可用于在城市空间范围内绘制人口特征图。

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