Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 81-85 |
| Seitenumfang | 5 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 40 |
| Ausgabenummer | 1W1 |
| Publikationsstatus | Veröffentlicht - 2013 |
| Veranstaltung | ISPRS Hannover Workshop 2013 - Hannover, Deutschland Dauer: 21 Mai 2013 → 24 Mai 2013 |
Abstract
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
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in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 40, Nr. 1W1, 2013, S. 81-85.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Delineation of building footprints from high resolution satellite stereo imagery using image matching and a GIS database
AU - Dini, G. R.
AU - Jacobsen, K.
AU - Heipke, C.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Building
KW - Edges
KW - GIS database
KW - High resolution
KW - Matching
KW - Satellite images
UR - http://www.scopus.com/inward/record.url?scp=84911427626&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84911427626
VL - 40
SP - 81
EP - 85
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 1W1
T2 - ISPRS Hannover Workshop 2013
Y2 - 21 May 2013 through 24 May 2013
ER -