Revealing Intra-Urban Features using Optical and SAR Images

Yasuyo K. Makido, Y. Yamagata, S. Dhakal
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Abstract

We developed a method for revealing the intra-urban features and estimating population density using remotely sensed imagery. Remotely sensed imagery has been widely used in urban studies. However, the moderate-resolution optical data (e.g. Landsat) is often too coarse for delineating urban features, since urban areas are far more heterogeneous than most other land cover types. Therefore, we employed both optical and synthetic aperture radar images for estimating population density inside urban areas. This research indicated that the integrated features of the optical and SAR images can increase the accuracy for estimating population density.
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利用光学和SAR图像揭示城市内部特征
我们开发了一种利用遥感图像揭示城市内部特征和估计人口密度的方法。遥感影像在城市研究中得到了广泛的应用。然而,中等分辨率的光学数据(例如Landsat)对于描绘城市特征来说往往过于粗糙,因为城市地区比大多数其他土地覆盖类型都要异构得多。因此,我们同时使用光学和合成孔径雷达图像来估算城市内的人口密度。研究表明,光学影像和SAR影像的综合特征可以提高种群密度估计的精度。
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