基于快速鸟类图像的昆明市建筑高度和密度信息提取

Jinliang Wang, Xiaohua Wang
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引用次数: 16

摘要

建筑物高度和密度的信息提取是城市遥感研究的一个重要方面。基于Quick Bird图像分类,提取建筑物的信息,分析建筑物的密度和景观格局,通过计算阴影长度来测量建筑物的高度。研究结果可为城镇规划、城市生态建设提供科学依据。昆明是中国云南省的省会。它是中国西南重点城市,国家历史文化名城,中国重要的旅游和贸易城市。由于某种原因,昆明的综合实力明显落后于东部沿海城市,甚至落后于中国西部的一些城市。2003年5月,省政府提出了“建设现代新昆明”的战略决策。它旨在优化和增强城市功能,降低人口密度和建筑密度,缓解交通压力,改善环境质量。为了实现政府的目标,它需要一些数据,比如建筑高度和密度。另一方面,没有很多好的方法和方法来提取这些信息,特别是在一些典型的地理单元中。研究昆明市建筑高度和密度的信息提取,有助于做好昆明市核心区的规划,探索遥感信息提取的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information extraction of building height and density based on quick bird image in Kunming, China
Information extraction of building's height and density is an important aspect of urban remote sensing researches. Based on Quick Bird image classification, information of buildings can be extracted, and the density and landscape pattern of buildings can be analyzed, the height of buildings can be measured by calculating the length of the shadow. The results could provide scientific basis for town planning, urban ecological construction. Kunming is the capital of Yunnan Province, China. It is a key city in southwest China, and national historical and cultural city, an important tourism and trade city of China. For some reason the comprehensive strength of Kunming has obviously lagged behind the eastern coastal cities, even behind a number of western cities of China. A strategic decision called “Building modern and new Kunming” was put forward by the provincial government in May 2003. It aims to optimize and enhance urban functions, reduce population density and building density and relieve traffic pressure, improve the quality of the environment. In order to achieve governmental goals it needs some data like building height and density. On the other hand, there are no many good ways and methods to extract this information, especially in some typical geographic unit. Study on information extraction of building height and density in Kunming will help to do a good planning in core area of Kunming and will help to explore the new methods of remote sensing information extraction.
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