摘要
近年来,夜间灯光影像已被广泛用于城市建成区的提取。但由于单一夜间灯光数据在城市建成区提取中的精度难以大幅提高。因此,提出了一种融合兴趣点、增强植被指数和地表温度的夜间灯光城市指数PELANUI来提取高精度的城市建成区方法,并选择植被调整后的夜间灯光城市指数VANUI进行对比分析。结果表明:①PELANUI指数可以有效地弥补夜间灯光开花效应的缺点。②与VANUI指数相比,PELANUI可以显著提高城市建成区提取的精度。③PELANUI具有广泛的适用性,适用于不同发展程度的地区。
In recent years,night light images have been widely used to extract urban built-up areas.However,it is difficult to greatly improve the accuracy of single night light data in the extraction of urban built-up areas.Therefore,this paper proposes a night light city index PELANUI,which integrates interest points,enhanced vegetation index and land surface temperature,to extract high-precision urban built-up areas,and selects the night light city index VANUI adjusted by vegetation for comparative analysis.The results show that:①PELANUI index can effectively compensate for the shortcomings of night light flowering effect.②Compared with VANUI index,PELANUI can significantly improve the accuracy of urban built-up area extraction.③PELANUI has a wide range of applicability and is suitable for regions with different levels of development.
作者
田赢
陈裕汉
吴学群
许安泽
龚平祥
TIAN Ying;CHEN Yuhan;WU Xuequn;XU Anze;GONG Pingxiang(Faculty of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China;College of Earth Science and Engineering,West Yunnan University of Applied Sciences Technology,Dali 671000,China)
出处
《城市勘测》
2023年第4期24-29,共6页
Urban Geotechnical Investigation & Surveying
基金
国家自然科学基金地区基金项目(41961053,41961039)
滇西应用技术大学人才引进科研启动项目(2021RCKY0005)。
关键词
夜间灯光
城市建成区
兴趣点
增强植被指数
地表温度
night light
urban built-up area
point of interest
enhanced vegetation index
land surface temperature
