UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA
Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building...
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2019-09-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-3ad605064f854a5197b27dd799d243812020-11-25T00:46:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-09-01XLII-2-W1618118810.5194/isprs-archives-XLII-2-W16-181-2019UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATAT. H. Nguyen0T. H. Nguyen1S. Daniel2D. Guériot3C. Sintès4J.-M. Le Caillec5IMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Brest, FranceUniversité Laval, Québec City, QC G1V 0A6, CanadaUniversité Laval, Québec City, QC G1V 0A6, CanadaIMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Brest, FranceIMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Brest, FranceIMT Atlantique, Lab-STICC, UMR CNRS 6285, F-29238 Brest, FranceAutomatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shape, as well as its surrounding environment. Active contour model, colloquially called snake model, which has been extensively used in many applications in computer vision and image processing, has also been applied to extract buildings from aerial/satellite imagery. Motivated by the limitations of existing snake models dedicated to the building extraction, this paper presents an unsupervised and automatic snake model to extract buildings using optical imagery and an unregistered airborne LiDAR dataset, without manual initial points or training data. The proposed method is shown to be capable of extracting buildings with varying color from complex environments, and yielding high overall accuracy.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/181/2019/isprs-archives-XLII-2-W16-181-2019.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. H. Nguyen T. H. Nguyen S. Daniel D. Guériot C. Sintès J.-M. Le Caillec |
spellingShingle |
T. H. Nguyen T. H. Nguyen S. Daniel D. Guériot C. Sintès J.-M. Le Caillec UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
T. H. Nguyen T. H. Nguyen S. Daniel D. Guériot C. Sintès J.-M. Le Caillec |
author_sort |
T. H. Nguyen |
title |
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA |
title_short |
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA |
title_full |
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA |
title_fullStr |
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA |
title_full_unstemmed |
UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA |
title_sort |
unsupervised automatic building extraction using active contour model on unregistered optical imagery and airborne lidar data |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2019-09-01 |
description |
Automatic extraction of buildings in urban scenes has become a subject of growing interest in the domain of photogrammetry and remote sensing, particularly with the emergence of LiDAR systems since mid-1990s. However, in reality, this task is still very challenging due to the complexity of building size and shape, as well as its surrounding environment. Active contour model, colloquially called snake model, which has been extensively used in many applications in computer vision and image processing, has also been applied to extract buildings from aerial/satellite imagery. Motivated by the limitations of existing snake models dedicated to the building extraction, this paper presents an unsupervised and automatic snake model to extract buildings using optical imagery and an unregistered airborne LiDAR dataset, without manual initial points or training data. The proposed method is shown to be capable of extracting buildings with varying color from complex environments, and yielding high overall accuracy. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/181/2019/isprs-archives-XLII-2-W16-181-2019.pdf |
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