In this abstract a system for automated road verification is introduced. This system is being developed in cooperation with the German Federal Agency Cartography and Geodesy (BKG). The background is to support a human operator in verifying a given set of road vectors (ATKIS – DLMBasis). An up-to-date orthoimage is used for this verification. By means of image analysis algorithms a majority of correct objects should be identified, so that the operator just has to focus on the remaining roads. We give a short overview and present results of a 40km2 testscene. Wrong decisions of the system are explained and analysed in more detail. The overall results show the potential of the approach
Syseca and IGN are working on various steps in the ongoing march from digital photogrammetry to the ...
The extraction of road networks from aerial images is one of the current challenges in digital photo...
The extraction of road networks from aerial images is one of the current challenges in digital photo...
This paper describes a semi-automatic system for road verification based on high resolution imagery ...
This paper describes a semi-automatic system for road verification from high resolution orthophotos ...
The IPI is working in a project funded by the German Federal Agency for Geodesy and Cartography (BKG...
This paper describes a semi-automatic system for road update based on high resolution orthophotos an...
Describing the quality of digital geodata in a geodatabase is required for many applications. We pre...
Quality of an authoritative topographic reference dataset is important since it is the basis for man...
Road databases are known to be an important part of any geodata infrastructure, e.g. as the basis fo...
This paper describes a semi-automatic system for road update based on high resolution orthophotos an...
In this paper an approach to the automatic quality assessment of existing geo-spatial data is presen...
In the recent years, the automated extraction of roads from digital images has drawn considerable at...
Abstract—In this paper we present a SVM-based method for automatic quality control of a road databas...
This paper presents a practical system for automated 3-D road network reconstruction from aerial ima...
Syseca and IGN are working on various steps in the ongoing march from digital photogrammetry to the ...
The extraction of road networks from aerial images is one of the current challenges in digital photo...
The extraction of road networks from aerial images is one of the current challenges in digital photo...
This paper describes a semi-automatic system for road verification based on high resolution imagery ...
This paper describes a semi-automatic system for road verification from high resolution orthophotos ...
The IPI is working in a project funded by the German Federal Agency for Geodesy and Cartography (BKG...
This paper describes a semi-automatic system for road update based on high resolution orthophotos an...
Describing the quality of digital geodata in a geodatabase is required for many applications. We pre...
Quality of an authoritative topographic reference dataset is important since it is the basis for man...
Road databases are known to be an important part of any geodata infrastructure, e.g. as the basis fo...
This paper describes a semi-automatic system for road update based on high resolution orthophotos an...
In this paper an approach to the automatic quality assessment of existing geo-spatial data is presen...
In the recent years, the automated extraction of roads from digital images has drawn considerable at...
Abstract—In this paper we present a SVM-based method for automatic quality control of a road databas...
This paper presents a practical system for automated 3-D road network reconstruction from aerial ima...
Syseca and IGN are working on various steps in the ongoing march from digital photogrammetry to the ...
The extraction of road networks from aerial images is one of the current challenges in digital photo...
The extraction of road networks from aerial images is one of the current challenges in digital photo...