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Open AccessArticle

Extracting Indoor Space Information in Complex Building Environments

by 1,2,3, 4, 1,2,3,*, 1,2,3 and 1,2,3
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
College of Geographic Science, Nantong University, Nantong 226019, China
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(8), 321;
Received: 26 May 2018 / Revised: 29 July 2018 / Accepted: 7 August 2018 / Published: 9 August 2018
Indoor space information extraction is an important aspect of reconstruction for building information modeling and a necessary process for geographic information system from outdoor to indoor. Entity model extracting methods provide advantages in terms of accuracy for building indoor spaces, as compared with network and grid model methods, and the extraction results can be converted into a network or grid model. However, existing entity model extracting methods based on a search loop do not consider the complex indoor environment of a building, such as isolated columns and walls or cross-floor spaces. In this study, such complex indoor environments are analyzed in detail, and a new approach for extracting buildings’ indoor space information is proposed. This approach is based on indoor space boundary calculation, the Boolean difference for single-floor space extraction, relationship reconstruction, and cross-floor space extraction. The experimental results showed that the proposed method can accurately extract indoor space information from the complex indoor environment of a building with geometric, semantic, and relationship information. This study is theoretically important for better understanding the complexity of indoor space extraction and practically important for improving the modeling accuracy of buildings. View Full-Text
Keywords: indoor space extraction; boundary component; single-floor space; connectivity; cross-floor space indoor space extraction; boundary component; single-floor space; connectivity; cross-floor space
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Pang, Y.; Zhang, C.; Zhou, L.; Lin, B.; Lv, G. Extracting Indoor Space Information in Complex Building Environments. ISPRS Int. J. Geo-Inf. 2018, 7, 321.

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ISPRS Int. J. Geo-Inf., EISSN 2220-9964, Published by MDPI AG
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