Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 91-101 |
| Seitenumfang | 11 |
| Fachzeitschrift | Survey Review |
| Jahrgang | 44 |
| Ausgabenummer | 325 |
| Publikationsstatus | Veröffentlicht - 1 Apr. 2012 |
Abstract
In some parts of the world, mainly developing countries, analogue graphical cadastral datasets are still being used, despite the fact that they usually contain large and differential positional distortions. This is because not only do they contain useful information, their replacement would involve lengthy legal procedures, huge financial costs and technical challenges as well. This paper presents a novel approach for the conflation of such legacy graphical cadastral datasets to more reliable and accurate topographical datasets based on the matching of linear features via a non-rigid transformation using thin plate spline transformation. The approach consists of three key steps: extraction of road network which is potentially contained in the graphical cadastral maps; matching of corresponding point and linear features between the extracted road network and a more reliable road network dataset; and computation of the non-rigid transformation between the datasets. Applying this reliable and accurate transformation quantification to the original legacy graphical cadastral dataset showed significant improvement in its geometric quality and positional accuracy.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Erdkunde und Planetologie (insg.)
- Computer in den Geowissenschaften
- Erdkunde und Planetologie (insg.)
- Erdkunde und Planetologie (sonstige)
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in: Survey Review, Jahrgang 44, Nr. 325, 01.04.2012, S. 91-101.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Geometric quality enhancement of legacy graphical cadastral datasets through thin plate splines transformation
AU - Siriba, David N.
AU - Dalyot, Sagi
AU - Sester, Monika
PY - 2012/4/1
Y1 - 2012/4/1
N2 - In some parts of the world, mainly developing countries, analogue graphical cadastral datasets are still being used, despite the fact that they usually contain large and differential positional distortions. This is because not only do they contain useful information, their replacement would involve lengthy legal procedures, huge financial costs and technical challenges as well. This paper presents a novel approach for the conflation of such legacy graphical cadastral datasets to more reliable and accurate topographical datasets based on the matching of linear features via a non-rigid transformation using thin plate spline transformation. The approach consists of three key steps: extraction of road network which is potentially contained in the graphical cadastral maps; matching of corresponding point and linear features between the extracted road network and a more reliable road network dataset; and computation of the non-rigid transformation between the datasets. Applying this reliable and accurate transformation quantification to the original legacy graphical cadastral dataset showed significant improvement in its geometric quality and positional accuracy.
AB - In some parts of the world, mainly developing countries, analogue graphical cadastral datasets are still being used, despite the fact that they usually contain large and differential positional distortions. This is because not only do they contain useful information, their replacement would involve lengthy legal procedures, huge financial costs and technical challenges as well. This paper presents a novel approach for the conflation of such legacy graphical cadastral datasets to more reliable and accurate topographical datasets based on the matching of linear features via a non-rigid transformation using thin plate spline transformation. The approach consists of three key steps: extraction of road network which is potentially contained in the graphical cadastral maps; matching of corresponding point and linear features between the extracted road network and a more reliable road network dataset; and computation of the non-rigid transformation between the datasets. Applying this reliable and accurate transformation quantification to the original legacy graphical cadastral dataset showed significant improvement in its geometric quality and positional accuracy.
KW - Feature matching and alignment
KW - Geometric quality enhancement
KW - Graphical cadastre
KW - Thin plate splines
UR - http://www.scopus.com/inward/record.url?scp=84859459747&partnerID=8YFLogxK
U2 - 10.1179/1752270611Y.0000000011
DO - 10.1179/1752270611Y.0000000011
M3 - Article
AN - SCOPUS:84859459747
VL - 44
SP - 91
EP - 101
JO - Survey Review
JF - Survey Review
SN - 0039-6265
IS - 325
ER -