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Research on Smilarity Degrees between Two Individual Building in Multi-scale Map Space
Author: FangAiLing
Tutor: ZhangLiPing;ZuoHaoWen
School: Lanzhou Jiaotong University
Course: Cartography and Geographic Information Systems
Keywords: Map generalization Single residential area Geometric similarity Direction similarity Structural similarity
CLC: P208
Type: Master's thesis
Year: 2011
Downloads: 37
Quote: 0
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Abstract
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The multiscale spatial expression of the map data is the problem of geographic information accepted by the scientific community. Research on this problem, in recent decades, domestic and international geoscience experts concentrated on studying and achieved many fruitful research. Currently, the map automatically integrated technology can not fully support the automatic construction of multi-scale vector map spatial database. The spatial similarity theory is not only a theoretical basis for multi-scale representation of geographic information quality assessment, geographic features front and rear similarity measure and calculate the effective way to design automatic map generalization algorithm terminate. The residential areas are important geographic features on the map. Many existing research on the residents of the synthesis algorithm is relatively mature and of single residents Lot algorithm research. The planar elements before and after space similarity computing research is in its infancy. However, the similarity of single residential area before and after space rarely. This paper to individual residents to study in related fields of research, in-depth study of residents of automatic synthesis algorithms and spatial similarity theory, put forward on the basis of the individual residents of multi-scale expression space similarity calculation method. Specific research work mainly includes the following sections: 1. Systematically expounded the four constraints residents and automatically integrated and comprehensive operator and analyze the impact of the data to the target space, which highlights the geometric characteristics the impact. 2 in individual residents to geometric similarity, based on the theory of mathematical morphology, the shape factor of the contour pattern is selected, the visual center of gravity of the contour image, the contour pattern of narrow degrees as described parameters, comprehensive evaluation their similarity. 3-depth analysis of the five calculated within the residential area extension direction calculation method, the eventual adoption of the minimum bounding rectangle method to a single residential area before and after the internal extension direction, and the establishment of appropriate metrics to achieve a residential area before and after space direction similar metrics. Single outline of residential graphical structure similarity borrowed the idea of ??dimension reduction, instead of the residential areas of the face like graphic skeleton outline of residential lines overlap detection and back and forth between the two skeleton line blank area the area of ??the variation of the number of branches of the skeleton line to measure the structural similarity. 5. Article Part IV, verified by instances of similarity calculation method proposed in this paper. The experimental results show that the similarity measure calculated with the method designed compare cognitive demands on the map capable of expressing a habitation elements before and after in the graph, the degree of similarity of the direction and structure. Finally, in the fifth part of the research for this article is a summary and outlook The paper further study.
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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > General issues > Mapping database and information system
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