Identification and Extracting Method of Exterior Building Information on 3D Map

Although the Korean government has provided high-quality architectural building information for a long period of time, its focus on administrative details over three-dimensional (3D) architectural mapping and data collection has hindered progress. This study presents a basic method for extracting ex...

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Main Authors: Donghwa Shon, Byeongjoon Noh, Nahyang Byun
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/12/4/452
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author Donghwa Shon
Byeongjoon Noh
Nahyang Byun
author_facet Donghwa Shon
Byeongjoon Noh
Nahyang Byun
author_sort Donghwa Shon
collection DOAJ
description Although the Korean government has provided high-quality architectural building information for a long period of time, its focus on administrative details over three-dimensional (3D) architectural mapping and data collection has hindered progress. This study presents a basic method for extracting exterior building information for the purpose of 3D mapping using deep learning and digital image processing. The method identifies and classifies objects by using the fast regional convolutional neural network model. The results show an accuracy of 93% in the detection of façade and 91% window detection; this could be further improved by more clearly defining the boundaries of windows and reducing data noise. The additional metadata provided by the proposed method could, in the future, be included in building information modeling databases to facilitate structural analyses or reconstruction efforts.
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spelling doaj.art-629e647a4c9d4ea2812acf56b0aa034a2023-12-01T01:02:36ZengMDPI AGBuildings2075-53092022-04-0112445210.3390/buildings12040452Identification and Extracting Method of Exterior Building Information on 3D MapDonghwa Shon0Byeongjoon Noh1Nahyang Byun2Department of Architecture, Chungbuk National University, Cheongju 28644, KoreaApplied Science Research Institute, Korea Advanced Institute of Science and Technology, Daejeon 34141, KoreaDepartment of Architecture, Chungbuk National University, Cheongju 28644, KoreaAlthough the Korean government has provided high-quality architectural building information for a long period of time, its focus on administrative details over three-dimensional (3D) architectural mapping and data collection has hindered progress. This study presents a basic method for extracting exterior building information for the purpose of 3D mapping using deep learning and digital image processing. The method identifies and classifies objects by using the fast regional convolutional neural network model. The results show an accuracy of 93% in the detection of façade and 91% window detection; this could be further improved by more clearly defining the boundaries of windows and reducing data noise. The additional metadata provided by the proposed method could, in the future, be included in building information modeling databases to facilitate structural analyses or reconstruction efforts.https://www.mdpi.com/2075-5309/12/4/452deep learningimage processing3D mapexterior building informationbuilding façadeimage identification
spellingShingle Donghwa Shon
Byeongjoon Noh
Nahyang Byun
Identification and Extracting Method of Exterior Building Information on 3D Map
Buildings
deep learning
image processing
3D map
exterior building information
building façade
image identification
title Identification and Extracting Method of Exterior Building Information on 3D Map
title_full Identification and Extracting Method of Exterior Building Information on 3D Map
title_fullStr Identification and Extracting Method of Exterior Building Information on 3D Map
title_full_unstemmed Identification and Extracting Method of Exterior Building Information on 3D Map
title_short Identification and Extracting Method of Exterior Building Information on 3D Map
title_sort identification and extracting method of exterior building information on 3d map
topic deep learning
image processing
3D map
exterior building information
building façade
image identification
url https://www.mdpi.com/2075-5309/12/4/452
work_keys_str_mv AT donghwashon identificationandextractingmethodofexteriorbuildinginformationon3dmap
AT byeongjoonnoh identificationandextractingmethodofexteriorbuildinginformationon3dmap
AT nahyangbyun identificationandextractingmethodofexteriorbuildinginformationon3dmap