Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 525-532 |
| Seitenumfang | 8 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 33 |
| Publikationsstatus | Veröffentlicht - 2000 |
| Veranstaltung | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Niederlande Dauer: 16 Juli 2000 → 23 Juli 2000 |
Abstract
The automatic interpretation of aerial and satellite imagery is one of the main research tasks in photogrammetry and related disciplines. The primary goal is the automatic extraction of visible, spatial, topographic objects from imagery. The extracted objects are one possible input for updating or creating geographic data bases. In order to simplify the task, automatic image interpretation was subdivided into more specialised problems like the extraction of buildings or roads and natural objects like vegetation or water. A lot of very promising approaches were presented in the past, but at the same time the interpretation of the whole scene was not tackled in depth. In this paper we discuss different aspects of this issue and provide a frame for scene interpretation which is based on a GIS data model. Results of the proposed approach dealing with roads and trees and their interrelations are presented.
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 33, 2000, S. 525-532.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Towards the automatic interpretation of images for GIS update
AU - Straub, Bernd M.
AU - Wiedemann, Christian
AU - Heipke, Christian
N1 - Funding Information: Parts of this work were developed within the IST Programme CROSSES financed by the European Commission under the project number IST-1999-10510.
PY - 2000
Y1 - 2000
N2 - The automatic interpretation of aerial and satellite imagery is one of the main research tasks in photogrammetry and related disciplines. The primary goal is the automatic extraction of visible, spatial, topographic objects from imagery. The extracted objects are one possible input for updating or creating geographic data bases. In order to simplify the task, automatic image interpretation was subdivided into more specialised problems like the extraction of buildings or roads and natural objects like vegetation or water. A lot of very promising approaches were presented in the past, but at the same time the interpretation of the whole scene was not tackled in depth. In this paper we discuss different aspects of this issue and provide a frame for scene interpretation which is based on a GIS data model. Results of the proposed approach dealing with roads and trees and their interrelations are presented.
AB - The automatic interpretation of aerial and satellite imagery is one of the main research tasks in photogrammetry and related disciplines. The primary goal is the automatic extraction of visible, spatial, topographic objects from imagery. The extracted objects are one possible input for updating or creating geographic data bases. In order to simplify the task, automatic image interpretation was subdivided into more specialised problems like the extraction of buildings or roads and natural objects like vegetation or water. A lot of very promising approaches were presented in the past, but at the same time the interpretation of the whole scene was not tackled in depth. In this paper we discuss different aspects of this issue and provide a frame for scene interpretation which is based on a GIS data model. Results of the proposed approach dealing with roads and trees and their interrelations are presented.
KW - GIS
KW - Image Understanding
KW - Integration
KW - Model-based Processing
KW - Semantics
UR - http://www.scopus.com/inward/record.url?scp=84923777762&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84923777762
VL - 33
SP - 525
EP - 532
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
T2 - 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000
Y2 - 16 July 2000 through 23 July 2000
ER -