不透水面在城市建成区提取及扩展分析中的应用
本文选题:不透水面 + 城市建成区 ; 参考:《辽宁工程技术大学》2013年硕士论文
【摘要】:城市建成区是城市化的重要标志,是对城市扩大和发展的直观反映,了解城市建成区范围和城市扩展趋势,可以指引城市规划管理及城市统计分析等的有序进行。城市内的不透水面是城市建成区的重要标志,通过对不透水面的研究可以间接反映城市建成区的发展变化。 本文首先对不透水面提取方法进行研究,再以不透水面为基础进行城市建成区的扩展分析,最后以江阴市2003年1月16日SPOT多光谱影像、2006年11月9日ALOS多光谱影像、2010年8月20日ALOS多光谱影像为基础进行城市建成区提取与分析,从而实现对理论方法的实验验证和有效性分析。 本文主要的工作内容如下: (1)以eCognition软件为平台,以不透水面为基础,采用面向对象的方法对城市建成区进行提取。在提取过程中提出一种IRMAS方法用于最优分割尺度选择,以便提高提取精度; (2)结合城市规划相关规范,通过分析和计算定量地制定城市建成区界定方案,划分城市内各组份的归属,改变以往依据行政界线划分城市建成区的思路和观念; (3)应用引力模型,通过计算各区域间的引力,从而对提取的城市建成区进行等级划分。以城市主建成区为重点研究对象,根据多时相影像进行主建成区的扩展分析。 通过江阴市城市建成区提取的实验,本文得到以下基本结论:以不透水面为标志提取的范围,与城市行政区划图进行对比后,基本能够正确表达城市建成区范围;使用IRMAS方法进行最优分割尺度选择可以使计算过程更细腻、分割精度更高;以城市规划标准和城市发展情况为依据制定建成区界定方案,更符合建成区定义,并具有灵活性和通用性;用引力模型求取的城市主建成区范围,通过与城市统计年鉴和行政区划图相对比,基本与实际城市中心范围相吻合;通过多时相影像进行的城市扩展分析,能够快速、明显的反映城市发展变化情况。
[Abstract]:Urban built-up area is an important symbol of urbanization and a direct reflection of urban expansion and development. Understanding the scope of urban built-up area and the trend of urban expansion can guide the orderly development of urban planning management and urban statistical analysis. Impermeable surface is an important symbol of urban built-up area. The study of impermeable water surface can indirectly reflect the development and change of urban built-up area. In this paper, firstly, the method of extracting impervious water surface is studied, and then the expansion analysis of urban built-up area based on impervious surface is carried out. Finally, based on the SPOT multispectral image of Jiangyin city on January 16, 2003, the ALOS multispectral image on November 9, 2006 and the ALOS multispectral image on August 20, 2010, the urban built-up area is extracted and analyzed. Thus, the experimental verification and validity analysis of the theory and method are realized. The main work of this paper is as follows: 1) based on eCognition software and impervious surface, an object oriented method is used to extract urban built-up areas. In the process of extraction, a IRMAS method is proposed to select the optimal segmentation scale in order to improve the precision of extraction. (2) combined with the relevant norms of urban planning, through the analysis and calculation to make the definition scheme of urban built-up area, to divide the attribution of each component in the city, and to change the thought and idea of dividing the urban built-up area according to the administrative boundary in the past; (3) applying gravity model, the gradation of the extracted urban built-up area is carried out by calculating the gravity between different regions. Based on the multi-temporal image, the expansion analysis of the main built area is carried out. Through the experiment of Jiangyin city building area extraction, this paper obtains the following basic conclusions: the scope of extraction with impermeable surface as the mark, and the comparison with the city administrative division map, basically can correctly express the scope of the city built area; Using the IRMAS method to select the optimal segmentation scale can make the calculation process more delicate and the segmentation accuracy higher, and based on the urban planning standards and the urban development situation, it is more in line with the definition of the built area. The scope of the urban main built area obtained by the gravity model is basically consistent with the actual urban central area by comparing with the city statistical yearbook and the administrative division map. The analysis of urban expansion by multi-temporal image can reflect the development and change of the city quickly and obviously.
【学位授予单位】:辽宁工程技术大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:P23
【参考文献】
相关期刊论文 前10条
1 许新国;陈佑启;姚艳敏;何英彬;李志斌;余强毅;;城乡交错带空间边界界定方法的研究——以北京市为例[J];安徽农业科学;2010年02期
2 张雪峰;杨晏立;何政伟;王锐;张东辉;;苏、锡、常建成区遥感方法提取及城市扩展分析[J];测绘科学;2011年02期
3 王海鹰;张新长;赵元;;基于逻辑回归模型的城市边缘区界定方法研究[J];测绘通报;2010年10期
4 胡忆东;吴志华;熊伟;潘聪;;城市建成区界定方法研究——以武汉市为例[J];城市规划;2008年04期
5 何敏;张文君;王卫红;;面向对象的最优分割尺度计算模型[J];大地测量与地球动力学;2009年01期
6 孙志英;赵彦锋;陈杰;李桂林;檀满枝;;面向对象分类在城市地表不可透水度提取中的应用[J];地理科学;2007年06期
7 吴宏安,蒋建军,周杰,张海龙,张丽,艾莉;西安城市扩张及其驱动力分析[J];地理学报;2005年01期
8 顾朝林;庞海峰;;基于重力模型的中国城市体系空间联系与层域划分[J];地理研究;2008年01期
9 李秦;高锡章;张涛;刘锟;龚剑明;;最优分割尺度下的多层次遥感地物分类实验分析[J];地球信息科学学报;2011年03期
10 王林;;高分辨率遥感影像面向对象的分类方法[J];电子科技;2011年06期
相关博士学位论文 前1条
1 李爱民;基于遥感影像的城市建成区扩张与用地规模研究[D];解放军信息工程大学;2009年
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