华东师范大学学报(自然科学版) ›› 2010, Vol. 2010 ›› Issue (6): 12-25,6.

• 环境工程 地理学 • 上一篇    下一篇

面向对象的城市空间信息遥感分析的理论框架

余柏蒗1， 刘红星2， 吴健平1   

  1. 1. 华东师范大学 地理信息科学教育部重点实验室， 上海 200062； 2. 辛辛那提大学 地理系， 辛辛那提，俄亥俄州，美国 45221
  • 收稿日期:2009-09-01 修回日期:2009-12-01 出版日期:2010-11-25 发布日期:2010-11-25
  • 通讯作者: 吴健平

Exploring the theoretical framework of object-oriented analysis for urban spatial information using remote sensing data

YU Bai-lang1, LIU Hong-xing2, WU Jian-ping1   

  1. 1. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;  2. Department of Geography, University of Cincinnati, Cincinnati, Ohio 45221, USA
  • Received:2009-09-01 Revised:2009-12-01 Online:2010-11-25 Published:2010-11-25
  • Contact: WU Jian-ping

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摘要： 提出了面向对象的城市空间信息遥感分析的理论框架.对图像对象、地理空间对象和城市空间对象做出了明确界定，详细说明了三者间的区别和联系；总结了地理空间对象识别的三准则：边界、属性和尺度；提出地理空间对象和城市空间对象由身份、状态和行为三部分构成，对应的形式表达为标识、属性和关系.在分析地理空间对象中所包含信息的三个维度——专题、空间和时间的基础上，详细说明了组成地理空间对象和城市空间对象的专题属性、空间属性、时间属性和专题关系、空间关系、时间关系.在理论基础上，建立了一个通用的面向对象的城市空间信息遥感分析的总体框架.

关键词: 面向对象, 城市, 空间信息, 遥感图像, 理论框架, 面向对象, 城市, 空间信息, 遥感图像, 理论框架

Abstract: In this study, three basic concepts: image object, geospatial object, and urban spatial object were examined, and the dissimilarities and relations among them were elaborated. Three criteriaboundary, attributes, and scale-were proposed to characterize different types of geospatial objects. This research reveals that each geospatial or urban spatial object is defined by three components: identity, state and behavior. These three components are represented by unique name (or identification number), attributes, and relationships respectively. In addition, the information associated with an object has three dimensions: theme, space and time. The thematic, spatial, temporal attributes and relationships are the information underpinnings of a geospatial and urban spatial object. As a significant result of this paper, a general framework for object-oriented analysis of urban spatial information is established. The author believes that this framework may have wide applications in the field.

Key words: urban, spatial information, Remote Sensing images, theoretical framework, object-oriented, urban, spatial information, Remote Sensing images, theoretical framework

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