Recognizing building groups for generalization: a comparative study-Reference-Cited by-同舟云学术

Recognizing building groups for generalization: a comparative study

Published:2017-03-24 Issue:3 Volume:45 Page:187-204
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Deng Min¹,Tang Jianbo¹,Liu Qiliang¹,Wu Fang²

Affiliation:

1. Department of Geo-informatics, Central South University, Changsha, China

2. Department of Surveying Engineering, Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15230406.2017.1302821

Reference43 articles.

1. Amalgamation in cartographic generalization using Kohonen's feature nets

2. Anders, K. H. (2003, April). A hierarchical graph-clustering approach to find groups of objects. In Paper presented at the 5th Workshop on Progress in Automated Map Generalisation, Paris, April 28–30. Retrieved from: https://www.ikg.uni-hannover.de/fileadmin/ikg/staff/publications/Konferenzbeitraege_abstract_review/Anders_ICA2003.pdf .

3. An extensive comparative study of cluster validity indices

4. A Structure Recognition Technique in Contextual Generalisation of Buildings and Built-up Areas

5. Real-time generalization of point data in mobile and web mapping using quadtrees

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