Details
| Original language | English |
|---|---|
| Pages (from-to) | 959-972 |
| Number of pages | 14 |
| Journal | Photogrammetric Engineering and Remote Sensing |
| Volume | 78 |
| Issue number | 9 |
| Publication status | Published - Sept 2012 |
Abstract
The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semiautomatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
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In: Photogrammetric Engineering and Remote Sensing, Vol. 78, No. 9, 09.2012, p. 959-972.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Semi-automatic Quality Control of Topographic Data Sets
AU - Helmholz, Petra
AU - Becker, Christian
AU - Breitkopf, Uwe
AU - Büschenfeld, Torsten
AU - Busch, Andreas
AU - Braun, Carola
AU - Grünreich, Dietmar
AU - Müller, Sönke
AU - Ostermann, Jörn
AU - Pahl, Martin
AU - Rottensteiner, Franz
AU - Vogt, Karsten
AU - Ziems, Marcel
AU - Heipke, Christian
PY - 2012/9
Y1 - 2012/9
N2 - The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semiautomatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results.
AB - The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semiautomatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results.
UR - http://www.scopus.com/inward/record.url?scp=84868036959&partnerID=8YFLogxK
U2 - 10.14358/PERS.78.9.959
DO - 10.14358/PERS.78.9.959
M3 - Article
AN - SCOPUS:84868036959
VL - 78
SP - 959
EP - 972
JO - Photogrammetric Engineering and Remote Sensing
JF - Photogrammetric Engineering and Remote Sensing
SN - 0099-1112
IS - 9
ER -