Details
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Publication status | Published - 2010 |
| Event | Special Joint Symposium of ISPRS Commission IV and AutoCarto 2010, in Conjunction with ASPRS/CaGIS 2010 Special Conference - Orlando, United States Duration: 15 Nov 2010 → 19 Nov 2010 |
Abstract
The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via automatic image analysis using aerial images, high-resolution satellite imagery (IKONOS and RapidEye) and low-resolution satellite imagery (Disaster Monitoring Constellation, DMC) with mono- and multi-temporal approaches focusing on objects which cover most of the area of the topographic dataset. The goal of the developed system is to reduce the manual efforts to a minimum. We shortly review the system design and then we focus on the automatic components and their integration in a semiautomatic workflow for verification and update. A prototype of the system has been in use for several years. From the experience gained during this time we give a detailed report on the system performance in its application as well as an evaluation of the results.
Keywords
- Automation, Classification, Extraction, GIS, Inspection, Object, Quality, Updating
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 38, 2010.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Semiautomatic quality control of topographic reference datasets
AU - Becker, C.
AU - Breitkopf, U.
AU - Büschenfeld, T.
AU - Busch, A.
AU - Grünreich, D.
AU - Heipke, C.
AU - Helmholz, P.
AU - Müller, S.
AU - Ostermann, J.
AU - Pahl, M.
AU - Vogt, K.
AU - Ziems, M.
PY - 2010
Y1 - 2010
N2 - The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via automatic image analysis using aerial images, high-resolution satellite imagery (IKONOS and RapidEye) and low-resolution satellite imagery (Disaster Monitoring Constellation, DMC) with mono- and multi-temporal approaches focusing on objects which cover most of the area of the topographic dataset. The goal of the developed system is to reduce the manual efforts to a minimum. We shortly review the system design and then we focus on the automatic components and their integration in a semiautomatic workflow for verification and update. A prototype of the system has been in use for several years. From the experience gained during this time we give a detailed report on the system performance in its application as well as an evaluation of the results.
AB - The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via automatic image analysis using aerial images, high-resolution satellite imagery (IKONOS and RapidEye) and low-resolution satellite imagery (Disaster Monitoring Constellation, DMC) with mono- and multi-temporal approaches focusing on objects which cover most of the area of the topographic dataset. The goal of the developed system is to reduce the manual efforts to a minimum. We shortly review the system design and then we focus on the automatic components and their integration in a semiautomatic workflow for verification and update. A prototype of the system has been in use for several years. From the experience gained during this time we give a detailed report on the system performance in its application as well as an evaluation of the results.
KW - Automation
KW - Classification
KW - Extraction
KW - GIS
KW - Inspection
KW - Object
KW - Quality
KW - Updating
UR - http://www.scopus.com/inward/record.url?scp=84923562082&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84923562082
VL - 38
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 - Special Joint Symposium of ISPRS Commission IV and AutoCarto 2010, in Conjunction with ASPRS/CaGIS 2010 Special Conference
Y2 - 15 November 2010 through 19 November 2010
ER -