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Spatial distribution characteristics of urban landscape pattern based on multi-source remote sensing technology

机译:基于多源遥感技术的城市景观格局空间分布特征

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摘要

In order to overcome the low efficiency of feature extraction in traditional research methods for spatial distribution of urban landscape pattern, a new research method based on multi-source remote sensing technology is proposed. Combined with the idea of information entropy and grid division, the spatial secondary grid division of urban landscape pattern is completed by multi-source remote sensing technology. The probability density of spatial distribution of urban landscape pattern is calculated according to the results of secondary grid division. The scale pyramid is established to study the spatial distribution characteristics of urban landscape pattern. The experimental results show that the proposed method can effectively realise the research of spatial distribution characteristics of urban landscape pattern, with high efficiency of feature extraction, and the maximum extraction time is only 0.22 min.
机译:为了克服城市景观格局空间分布的传统研究方法的低效率,提出了一种基于多源遥感技术的新研究方法。 结合信息熵和网格划分的思想,通过多源遥感技术完成了城市景观模式的空间次级网格划分。 根据次级网格划分的结果计算城市景观模式的空间分布概率密度。 建立了规模金字塔,以研究城市景观模式的空间分布特征。 实验结果表明,该方法可有效实现城市景观模式的空间分布特性研究,具有高效率的特征提取,最大提取时间仅为0.22分钟。

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