【摘要】 传统城市中心提取多依赖统计数据,主观性较强且不具有普遍适用性。本文以重庆市主城区为例,以NPP-VIIRS夜间灯光遥感影像数据为研究数据,采用局部等值线树算法与等值线填充概念进行城市中心的提取,引用总规内容并结合相关量化指标进行分析。结果表明,主城区规划城市中心发展不均衡,在灯光数据下,部分规划中心并未达到亮度及面积阈值;重庆市主次中心发展现状并未存在显著差异,属性指标中的灯光亮度最大值及灯光亮度总值最大值并未出现于主中心之中;重庆市主城区城市中心分布与交通因子紧密关联,各交通因子密度远高于其他地区。更多还原

【Abstract】 Most of the traditional urban center extraction relies on statistical data, which is subjective and not universally applicable.Taking the main urban area of Chongqing as an example, this paper takes NPP-VIIRS nighttime remote sensing image data as the research data. The local contour tree algorithm and the contour filling concept are used to extract the city center, and the general rules are combined and analyzed with relevant quantitative indicators. The results show that the urban center planning urban center development is not balanced, under the lighting data, some planning centers have not reached the brightness and area thresholds; there is no significant difference in the development status of Chongqing’s primary and secondary centers, the maximum value of the brightness of the light and the maximum value of the total brightness of the light in the attribute indicators do not appear in the main center; the distribution of urban centers in the main urban area of Chongqing is closely related to traffic factors,and the density of various traffic factors is much higher than other regions.更多还原