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Extraction of urban impervious surface from multi-temporal Worldview-2 imagery using spectral mixture analysis: A comparative study

机译:使用频谱混合分析从多时域Worldview-2影像中提取城市不透水表面的比较研究

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Impervious surface is considered as a key indicator of urban environment quality and urbanization. Many studies have attempted to extract urban impervious surface using multispectral images of medium and high resolution, especially images acquired in summer, as they achieved higher accuracy. However, the use of summer images may underestimate impervious surface area, since some impervious surfaces are obscured by deciduous tree crowns in summer. This paper compared the results of impervious surface extracted using two-temporal Worldview-2 multispectral images acquired in summer and winter by linear spectral mixture analysis and analyzed the differences between the results. The results indicated that impervious surface extraction from winter image produced a similar accuracy with summer image. However, the area of impervious surface extracted from winter image was much higher than that from summer image by nearly 20% in study area.
机译:不透水表面被认为是城市环境质量和城市化的关键指标。许多研究已尝试使用中分辨率和高分辨率的多光谱图像(尤其是夏季采集的图像)提取城市不透水表面,因为它们获得了更高的精度。但是,夏季图像的使用可能会低估不可渗透的表面积,因为某些不可渗透的表面在夏季被落叶的树冠遮盖了。本文通过线性光谱混合分析比较了夏季和冬季获得的两时Worldview-2多光谱图像提取的不透水表面的结果,并分析了结果之间的差异。结果表明,冬季图像的不透水表面提取与夏季图像具有相似的精度。然而,在研究区域,从冬季图像提取的不透水表面的面积比从夏季图像提取的不透水表面的面积高了近20%。

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