DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE
In this paper, a workflow is proposed to delineate building footprints from high resolution satellite stereo images through integration of a Digital Surface Model (DSM), 3D edge matching technique and GIS building polygons. First, Digital Surface Models (DSM) and a normalised DSM are derived by tr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2013-04-01
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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/XL-1-W1/81/2013/isprsarchives-XL-1-W1-81-2013.pdf |
| _version_ | 1818268378647756800 |
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| author | G. R. Dini K. Jacobsen C. Heipke |
| author_facet | G. R. Dini K. Jacobsen C. Heipke |
| author_sort | G. R. Dini |
| collection | DOAJ |
| description | In this paper, a workflow is proposed to delineate building footprints from high resolution satellite stereo images through integration
of a Digital Surface Model (DSM), 3D edge matching technique and GIS building polygons. First, Digital Surface Models (DSM)
and a normalised DSM are derived by traditional image matching. Three different removal masks are employed to reduce the effects
of matching errors, roads and vegetation. We then compare all resulting blobs with the GIS 2D building layer. For blobs without a
partner in the database, building outlines are extracted based on 3D edge matching. To do so, edges on epipolar images are first
detected individually on each image using the Canny operator. After removing short edges and extracting straight lines, we find the
best corresponding lines using various constraints. Finally, the topological relationship of the derived 3D edges is employed to
reconstruct the shape of the building and the building footprints using a box-fitting approach. Our experiments on GeoEye-1 stereo
images show promising results if buildings are large enough, have simple shape and show good contrast compared to the
background. |
| first_indexed | 2024-12-12T20:37:33Z |
| format | Article |
| id | doaj.art-bf478c4a7fec4f258f91383a6a20aa6d |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-12T20:37:33Z |
| publishDate | 2013-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-bf478c4a7fec4f258f91383a6a20aa6d2022-12-22T00:12:51ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-04-01XL-1-W1818510.5194/isprsarchives-XL-1-W1-81-2013DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASEG. R. Dini0K. Jacobsen1C. Heipke2Institute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyInstitute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyInstitute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, GermanyIn this paper, a workflow is proposed to delineate building footprints from high resolution satellite stereo images through integration of a Digital Surface Model (DSM), 3D edge matching technique and GIS building polygons. First, Digital Surface Models (DSM) and a normalised DSM are derived by traditional image matching. Three different removal masks are employed to reduce the effects of matching errors, roads and vegetation. We then compare all resulting blobs with the GIS 2D building layer. For blobs without a partner in the database, building outlines are extracted based on 3D edge matching. To do so, edges on epipolar images are first detected individually on each image using the Canny operator. After removing short edges and extracting straight lines, we find the best corresponding lines using various constraints. Finally, the topological relationship of the derived 3D edges is employed to reconstruct the shape of the building and the building footprints using a box-fitting approach. Our experiments on GeoEye-1 stereo images show promising results if buildings are large enough, have simple shape and show good contrast compared to the background.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/81/2013/isprsarchives-XL-1-W1-81-2013.pdf |
| spellingShingle | G. R. Dini K. Jacobsen C. Heipke DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE |
| title_full | DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE |
| title_fullStr | DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE |
| title_full_unstemmed | DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE |
| title_short | DELINEATION OF BUILDING FOOTPRINTS FROM HIGH RESOLUTION SATELLITE STEREO IMAGERY USING IMAGE MATCHING AND A GIS DATABASE |
| title_sort | delineation of building footprints from high resolution satellite stereo imagery using image matching and a gis database |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/81/2013/isprsarchives-XL-1-W1-81-2013.pdf |
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