根据遥感图像和先验的粗略人口计数，以非常高的分辨率绘制人口分布

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI:10.1109/JURSE.2015.7120473

L. Gueguen

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引用次数: 1

摘要

本文提出了一种快速、全自动的从VHR光学影像中估计超高分辨率(≥25 m)人群分布图的方法。该方法在DigitalGlobe公司开发的高分辨率城市地球(HUG)工具套件中实现。该方法依靠先验的粗略人数知识来训练一个作用于从VHR图像中提取的建筑特征的模型。实验和结果表明，HUG人口密度估计对详细的人口普查数据具有较高的保真度。

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Mapping people distribution at very high resolution from remote sensing imagery and a priori coarse people counts

The paper presents a fast and fully automatic method for estimating people distribution maps at very high resolution (≥ 25 m) from VHR optical imagery. This method is implemented in the High-res Urban Globe (HUG) suite of tools developed at DigitalGlobe, Inc. The methods relies on the a priori knowledge of coarse people counts to train a model acting on building features extracted from VHR imagery. Experiments and results show the high fidelity of HUG population density estimate to detailed census data.

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2015 Joint Urban Remote Sensing Event (JURSE)

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