EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS
<p>Increasing urbanisation, changes in land use (e.g., more impervious area) and climate change have all led to an increasing frequency and severity of flood events and increased socio-economic impact. In order to deploy an urban flood disaster and risk management system, it is necessary to kn...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/429/2019/isprs-archives-XLII-3-W8-429-2019.pdf |
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| author | S. Van Ackere J. Verbeurgt L. De Sloover A. De Wulf N. Van de Weghe P. De Maeyer |
| author_facet | S. Van Ackere J. Verbeurgt L. De Sloover A. De Wulf N. Van de Weghe P. De Maeyer |
| author_sort | S. Van Ackere |
| collection | DOAJ |
| description | <p>Increasing urbanisation, changes in land use (e.g., more impervious area) and climate change have all led to an increasing frequency and severity of flood events and increased socio-economic impact. In order to deploy an urban flood disaster and risk management system, it is necessary to know what the consequences of a specific urban flood event are to adapt to a potential event and prepare for its impact. Therefore, an accurate socio-economic impact assessment must be conducted. Unfortunately, until now, there has been a lack of data regarding the design and construction of flood-prone building structures (e.g., locations and dimensions of doors and door thresholds and presence and dimensions of basement ventilation holes) to consider when calculating the flood impact on buildings. We propose a pipeline to detect the dimension and location of doors and windows based on mobile LiDAR data and 360° images. This paper reports on the current state of research in the domain of object detection and instance segmentation of images to detect doors and windows in mobile LiDAR data. The use and improvement of this algorithm can greatly enhance the accuracy of socio-economic impact of urban flood events and, therefore, can be of great importance for flood disaster management.</p> |
| first_indexed | 2024-12-16T08:30:17Z |
| format | Article |
| id | doaj.art-189c5332b01d4a248e1e32a3c9f9473a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-16T08:30:17Z |
| publishDate | 2019-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-189c5332b01d4a248e1e32a3c9f9473a2022-12-21T22:37:53ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-08-01XLII-3-W842943610.5194/isprs-archives-XLII-3-W8-429-2019EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODSS. Van Ackere0J. Verbeurgt1L. De Sloover2A. De Wulf3N. Van de Weghe4P. De Maeyer5Departement of Geography, BelgiumDepartement of Geography, BelgiumDepartement of Geography, BelgiumDepartement of Geography, BelgiumDepartement of Geography, BelgiumDepartement of Geography, Belgium<p>Increasing urbanisation, changes in land use (e.g., more impervious area) and climate change have all led to an increasing frequency and severity of flood events and increased socio-economic impact. In order to deploy an urban flood disaster and risk management system, it is necessary to know what the consequences of a specific urban flood event are to adapt to a potential event and prepare for its impact. Therefore, an accurate socio-economic impact assessment must be conducted. Unfortunately, until now, there has been a lack of data regarding the design and construction of flood-prone building structures (e.g., locations and dimensions of doors and door thresholds and presence and dimensions of basement ventilation holes) to consider when calculating the flood impact on buildings. We propose a pipeline to detect the dimension and location of doors and windows based on mobile LiDAR data and 360° images. This paper reports on the current state of research in the domain of object detection and instance segmentation of images to detect doors and windows in mobile LiDAR data. The use and improvement of this algorithm can greatly enhance the accuracy of socio-economic impact of urban flood events and, therefore, can be of great importance for flood disaster management.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/429/2019/isprs-archives-XLII-3-W8-429-2019.pdf |
| spellingShingle | S. Van Ackere J. Verbeurgt L. De Sloover A. De Wulf N. Van de Weghe P. De Maeyer EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS |
| title_full | EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS |
| title_fullStr | EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS |
| title_full_unstemmed | EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS |
| title_short | EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS |
| title_sort | extracting dimensions and locations of doors windows and door thresholds out of mobile lidar data using object detection to estimate the impact of floods |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/429/2019/isprs-archives-XLII-3-W8-429-2019.pdf |
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