标题：Contextual Building Selection Based on a Genetic Algorithm in Map Generalization
作者： Wang, L (Wang, Lin); Guo, QS (Guo, Qingsheng); Liu, YG (Liu, Yuangang); Sun, YG (Sun, Yageng); Wei, ZW (Wei, Zhiwei)
来源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷：6 期：9 文献编号:271 DOI：10.3390/ijgi6090271 出版年：SEP 2017
摘要： In map generalization, scale reduction and feature symbolization inevitably generate problems of overlapping objects or map congestion. To solve the legibility problem with respect to the generalization of dispersed rural buildings, selection of buildings is necessary and can be transformed into an optimization problem. In this paper, an improved genetic algorithm for building selection is designed to be able to incorporate cartographic constraints related to the building selection problem. Part of the local constraints for building selection is used to constrain the encoding and genetic operation. To satisfy other local constraints, a preparation phase is necessary before building selection, which includes building enlargement, local displacement, conflict detection, and attribute enrichment. The contextual constraints are used to ascertain a fitness function. The experimental results indicate that the algorithm proposed in this article can obtain good results for building selection whilst preserving the spatial distribution characteristics of buildings.
作者关键词：building generalization; selection operator; genetic algorithm; contextual information
扩展关键词： CARTOGRAPHIC GENERALIZATION; VORONOI DIAGRAM; DISPLACEMENT; TYPIFICATION; RECOGNITION; FEATURES
通讯作者地址：Guo, QS (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Guo, QS (reprint author), Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.
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[Wang, Lin; Guo, Qingsheng; Wei, Zhiwei] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Guo, Qingsheng] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China.
[Liu, Yuangang] Yangtze Univ, Sch Geosci, Wuhan 430010, Hubei, Peoples R China.
[Sun, Yageng] Wuhan Geomat Inst, Wuhan 430022, Hubei, Peoples R China.
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