Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!
YU Bai-lang, LIU Hong-xing, WU Jian-ping, . Exploring the theoretical framework of object-oriented analysis for urban spatial information using remote sensing data[J]. Journal of East China Normal University (Natural Sciences), 2010, (6): 12-25,6.
Citation:
YU Bai-lang, LIU Hong-xing, WU Jian-ping, . Exploring the theoretical framework of object-oriented analysis for urban spatial information using remote sensing data[J]. Journal of East China Normal University (Natural Sciences), 2010, (6): 12-25,6.
YU Bai-lang, LIU Hong-xing, WU Jian-ping, . Exploring the theoretical framework of object-oriented analysis for urban spatial information using remote sensing data[J]. Journal of East China Normal University (Natural Sciences), 2010, (6): 12-25,6.
Citation:
YU Bai-lang, LIU Hong-xing, WU Jian-ping, . Exploring the theoretical framework of object-oriented analysis for urban spatial information using remote sensing data[J]. Journal of East China Normal University (Natural Sciences), 2010, (6): 12-25,6.
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 criteriaboundary, 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.