Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 73-79 |
| Seitenumfang | 7 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 38 |
| Ausgabenummer | 4W25 |
| Publikationsstatus | Veröffentlicht - 30 Aug. 2011 |
| Veranstaltung | ISPRS Guilin 2011 Workshop on Geospatial Data Infrastructure: From Data Acquisition and Updating to Smarter Services - Guilin, China Dauer: 20 Okt. 2011 → 21 Okt. 2011 |
Abstract
This paper describes a semi- Automatic system for road update based on high resolution orthophotos and 3D surface models. Potential update regions are identified by an object-wise verification of all existing database records, followed by a scene-wide detection of redevelopment regions. The proposed system combines several road detection and road verification approaches from current literature to form a more general solution. Each road detection / verification approach is realized as an independent module representing a unique road model combined with a corresponding processing strategy. The object-wise verification result of each module is formulated as a binary decision between the classes "correct road" and "incorrect road". These individual decisions are combined by Dempster-Shafer fusion, which provides tools for dealing with uncertain and incomplete knowledge about the statistical properties of the data. For each road detection / verification module a confidence function for the result is introduced that reflects the degree of correspondence of an actual test situation with an optimal situation according to the underlying road model of that module. Experimental results achieved with data from the national Belgian road database in a test site of about 134 km2 demonstrate the potential of the method.
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 38, Nr. 4W25, 30.08.2011, S. 73-79.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Multiple-model based update of Belgian reference road data
AU - Ziems, M.
AU - Beyen, J.
AU - Mueller, S.
AU - Roovers, S.
AU - Heipke, C.
PY - 2011/8/30
Y1 - 2011/8/30
N2 - This paper describes a semi- Automatic system for road update based on high resolution orthophotos and 3D surface models. Potential update regions are identified by an object-wise verification of all existing database records, followed by a scene-wide detection of redevelopment regions. The proposed system combines several road detection and road verification approaches from current literature to form a more general solution. Each road detection / verification approach is realized as an independent module representing a unique road model combined with a corresponding processing strategy. The object-wise verification result of each module is formulated as a binary decision between the classes "correct road" and "incorrect road". These individual decisions are combined by Dempster-Shafer fusion, which provides tools for dealing with uncertain and incomplete knowledge about the statistical properties of the data. For each road detection / verification module a confidence function for the result is introduced that reflects the degree of correspondence of an actual test situation with an optimal situation according to the underlying road model of that module. Experimental results achieved with data from the national Belgian road database in a test site of about 134 km2 demonstrate the potential of the method.
AB - This paper describes a semi- Automatic system for road update based on high resolution orthophotos and 3D surface models. Potential update regions are identified by an object-wise verification of all existing database records, followed by a scene-wide detection of redevelopment regions. The proposed system combines several road detection and road verification approaches from current literature to form a more general solution. Each road detection / verification approach is realized as an independent module representing a unique road model combined with a corresponding processing strategy. The object-wise verification result of each module is formulated as a binary decision between the classes "correct road" and "incorrect road". These individual decisions are combined by Dempster-Shafer fusion, which provides tools for dealing with uncertain and incomplete knowledge about the statistical properties of the data. For each road detection / verification module a confidence function for the result is introduced that reflects the degree of correspondence of an actual test situation with an optimal situation according to the underlying road model of that module. Experimental results achieved with data from the national Belgian road database in a test site of about 134 km2 demonstrate the potential of the method.
KW - Aerial
KW - Change detection
KW - Classification
KW - Dem/dtm
KW - Model
KW - Quality
KW - Road database
KW - Updating
UR - http://www.scopus.com/inward/record.url?scp=84923973173&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84923973173
VL - 38
SP - 73
EP - 79
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 - 4W25
T2 - ISPRS Guilin 2011 Workshop on Geospatial Data Infrastructure: From Data Acquisition and Updating to Smarter Services
Y2 - 20 October 2011 through 21 October 2011
ER -