Details
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 35 |
| Publication status | Published - 2004 |
| Event | 20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey Duration: 12 Jul 2004 → 23 Jul 2004 |
Abstract
Quality of an official topographic reference dataset is important since it is the groundwork for many applications. Verification is classified as being part of quality management in this paper. Its main topic is the automated verification of a topographic reference dataset by means of orthoimages. The objects from the dataset are compared to an up-to-date orthoimage in order to obtain information on their quality. The main objects of interest are roads and built-up areas. As it is assumed that most of the objects in the database are correct, the strategy is to use the ATKIS objects stored in the DLMBasis as a starting point. Automatic image operators being able to detect the objects of interest use as much prior knowledge as possible from the dataset, such as contextual and geometrical information. By this means inconsistencies between the ATKIS objects and the image features can be detected. Positional accuracy of roads is checked as well. To organise the verification of the data independently from its capture, a semiautomatic working environment has been installed. In the subsequent interactive step the human operator just has to focus on the objects not being found in the automatic run. In this paper we will introduce the whole system, we then focus on the automatic components and their integration in a semi-automatic workflow. Therefore, we can give a detailed report on the system in its daily application as well as an evaluation of the results.
Keywords
- Automation, Change detection, GIS, 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. 35, 2004.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Automated verification of a topographic reference dataset
T2 - 20th ISPRS Congress on Technical Commission VII
AU - Busch, A.
AU - Gerke, M.
AU - Grünreich, D.
AU - Heipke, Ch
AU - Liedtke, C. E.
AU - Müller, S.
PY - 2004
Y1 - 2004
N2 - Quality of an official topographic reference dataset is important since it is the groundwork for many applications. Verification is classified as being part of quality management in this paper. Its main topic is the automated verification of a topographic reference dataset by means of orthoimages. The objects from the dataset are compared to an up-to-date orthoimage in order to obtain information on their quality. The main objects of interest are roads and built-up areas. As it is assumed that most of the objects in the database are correct, the strategy is to use the ATKIS objects stored in the DLMBasis as a starting point. Automatic image operators being able to detect the objects of interest use as much prior knowledge as possible from the dataset, such as contextual and geometrical information. By this means inconsistencies between the ATKIS objects and the image features can be detected. Positional accuracy of roads is checked as well. To organise the verification of the data independently from its capture, a semiautomatic working environment has been installed. In the subsequent interactive step the human operator just has to focus on the objects not being found in the automatic run. In this paper we will introduce the whole system, we then focus on the automatic components and their integration in a semi-automatic workflow. Therefore, we can give a detailed report on the system in its daily application as well as an evaluation of the results.
AB - Quality of an official topographic reference dataset is important since it is the groundwork for many applications. Verification is classified as being part of quality management in this paper. Its main topic is the automated verification of a topographic reference dataset by means of orthoimages. The objects from the dataset are compared to an up-to-date orthoimage in order to obtain information on their quality. The main objects of interest are roads and built-up areas. As it is assumed that most of the objects in the database are correct, the strategy is to use the ATKIS objects stored in the DLMBasis as a starting point. Automatic image operators being able to detect the objects of interest use as much prior knowledge as possible from the dataset, such as contextual and geometrical information. By this means inconsistencies between the ATKIS objects and the image features can be detected. Positional accuracy of roads is checked as well. To organise the verification of the data independently from its capture, a semiautomatic working environment has been installed. In the subsequent interactive step the human operator just has to focus on the objects not being found in the automatic run. In this paper we will introduce the whole system, we then focus on the automatic components and their integration in a semi-automatic workflow. Therefore, we can give a detailed report on the system in its daily application as well as an evaluation of the results.
KW - Automation
KW - Change detection
KW - GIS
KW - Quality
KW - Updating
UR - http://www.scopus.com/inward/record.url?scp=33751429159&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:33751429159
VL - 35
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
Y2 - 12 July 2004 through 23 July 2004
ER -