Details
| Original language | English |
|---|---|
| Title of host publication | IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 85-89 |
| Number of pages | 5 |
| ISBN (electronic) | 0780370597, 9780780370593 |
| Publication status | Published - 6 Aug 2002 |
| Event | IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001 - Rome, Italy Duration: 8 Nov 2001 → 9 Nov 2001 |
Publication series
| Name | IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001 |
|---|
Abstract
The automatic extraction of buildings from aerial imagery in an urban environment is the main focus of this paper. Aerial color infrared images and a digital surface model are used as the source of information. Knowledge about the scene and the geometry of the objects is represented by means of a generic scene model. The strategy of our approach is to reduce the complexity of the image content by means of different abstraction levels. The extraction starts with a description of the coarse content of the given scene. On the scene level the detection of possible building regions is performed. In the next step knowledge about the surroundings of a building is used in order to support the detection of individual buildings. Finally these buildings are reconstructed using invariant geometric moments leading to orthogonal geometric models. Results of our approach are given in the paper. They demonstrate its feasibility and limitations. The practical application background is to provide a detailed semantic and geometric description of an urban environment, useful for a dynamic 3D simulation of a disaster. Our work is embedded in an interdisciplinary research project funded. by the European Commission.
Keywords
- Image Analysis, Object Detection, Scene Analysis
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
- Social Sciences(all)
- Urban Studies
Sustainable Development Goals
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IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001. Institute of Electrical and Electronics Engineers Inc., 2002. p. 85-89 985732 (IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Building extraction from aerial imagery using a generic scene model and invariant geometric moments
AU - Gerke, M.
AU - Heipke, C.
AU - Straub, B. M.
PY - 2002/8/6
Y1 - 2002/8/6
N2 - The automatic extraction of buildings from aerial imagery in an urban environment is the main focus of this paper. Aerial color infrared images and a digital surface model are used as the source of information. Knowledge about the scene and the geometry of the objects is represented by means of a generic scene model. The strategy of our approach is to reduce the complexity of the image content by means of different abstraction levels. The extraction starts with a description of the coarse content of the given scene. On the scene level the detection of possible building regions is performed. In the next step knowledge about the surroundings of a building is used in order to support the detection of individual buildings. Finally these buildings are reconstructed using invariant geometric moments leading to orthogonal geometric models. Results of our approach are given in the paper. They demonstrate its feasibility and limitations. The practical application background is to provide a detailed semantic and geometric description of an urban environment, useful for a dynamic 3D simulation of a disaster. Our work is embedded in an interdisciplinary research project funded. by the European Commission.
AB - The automatic extraction of buildings from aerial imagery in an urban environment is the main focus of this paper. Aerial color infrared images and a digital surface model are used as the source of information. Knowledge about the scene and the geometry of the objects is represented by means of a generic scene model. The strategy of our approach is to reduce the complexity of the image content by means of different abstraction levels. The extraction starts with a description of the coarse content of the given scene. On the scene level the detection of possible building regions is performed. In the next step knowledge about the surroundings of a building is used in order to support the detection of individual buildings. Finally these buildings are reconstructed using invariant geometric moments leading to orthogonal geometric models. Results of our approach are given in the paper. They demonstrate its feasibility and limitations. The practical application background is to provide a detailed semantic and geometric description of an urban environment, useful for a dynamic 3D simulation of a disaster. Our work is embedded in an interdisciplinary research project funded. by the European Commission.
KW - Image Analysis
KW - Object Detection
KW - Scene Analysis
UR - http://www.scopus.com/inward/record.url?scp=0037798560&partnerID=8YFLogxK
U2 - 10.1109/DFUA.2001.985732
DO - 10.1109/DFUA.2001.985732
M3 - Conference contribution
AN - SCOPUS:0037798560
T3 - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
SP - 85
EP - 89
BT - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, DFUA 2001
Y2 - 8 November 2001 through 9 November 2001
ER -