合肥主城区建筑密度的珞珈一号夜光影像估算  

Building Density Estimation in Hefei Main Urban Area by Luojia1-01 Nighttime Light Imagery

作　　者：王兴 周侗[1] 王文懋 WANG Xing;ZHOU Tong;WANG Wenmao(School of Geographical Sciences,Nantong University,Nantong,Jiangsu 226007,China;School of Economics and Management,Nantong University,Nantong,Jiangsu 226019,China)

机构地区：[1]南通大学地理科学学院,江苏南通226007 [2]南通大学经济与管理学院,江苏南通226019

出　　处：《遥感信息》2020年第3期71-77,共7页Remote Sensing Information

基　　金：国家自然科学基金项目(41301514);南通市空间信息技术研发与应用重点实验室项目(CP12016005)。

摘　　要：建筑密度是城市规划、土地管理和居住区环境评估的重要指标。相比传统夜光遥感,珞珈一号具有更高的空间分辨率,在城市建筑密度估算方面更有优势。基于珞珈一号数据源,以合肥市主城区为实验区,以1 km×1 km范围为统计单元,将样区夜光影像灰度值进行灯光强度分类,同时结合人工数字化建筑物基地进行拟合分析。引入均值迁移、形态学等方法,排除道路灯光对估算结果的干扰;通过建立建筑密度估算模型,最终得到合肥市主城区的建筑密度空间分布结果,并对结果进行交叉验证。结果表明,在建筑密度估算方面,珞珈一号夜光遥感影像具有较高的估算建筑密度能力,未来在其他社会经济数据空间分析方面也具有巨大潜力。Building density is an important indicator of urban planning,land management and environmental assessment of residential areas.Compared with traditional nightlight remote sensing images,Luojia1-01 nighttime light imagery has higher spatial resolution and has more advantages in urban building density estimation.Based on Luojia1-01 data source,taking the main urban area of Hefei city as the experimental sample area,and taking the 1 km×1 km sample area as the statistical unit,this paper classifies the gray value of nighttime light imagery in the sample area,and makes fitting analysis combining with the artificial digitized building base.This paper introduces mean-shift and morphological method to eliminate the interference of road lights on the estimation results.Finally,the building density estimation model is established to obtain the spatial distribution map of building density in the main urban area of Hefei,and the results are cross-validated.The results show that Luojia1-01 nighttime light imagery has a high ability to building density estimation and has great potential in spatial analysis of other socio-economic data in the future.

关 键 词：珞珈一号 夜光影像 道路提取 建筑密度 合肥市 

分 类 号：P237[天文地球—摄影测量与遥感]