Advanced search
1 file | 869.35 KB

Automating actualisation of geographic information using the twofold fuzzy region model

Niels Charlier (UGent) , Guy De Tré (UGent) , Sidharta Gautama (UGent) and Rik Bellens (UGent)
Author
Organization
Abstract
In this paper a new method is proposed for automating quality control and actualisation of spatial information using image data. A new model for imperfect geographic information is explored for this purpose: a two fold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. This model is used to interpret spatial classifications and its imperfections in a new way. By defining different operators on the model an imprecise quality report can be developped for geographic databases that uses the imperfect spatial classification as reference information. The model makes it possible, despite the large amount of imperfection in spatial classifications, to use them for rather accurate error detection on geographic databases.
Keywords
qualitative spatial reasoning, Geographical information systems, imperfect data modelling, image processing, fuzzy sets, SPATIAL-ANALYSIS, SETS

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 869.35 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Charlier, Niels, Guy De Tré, Sidharta Gautama, and Rik Bellens. 2010. “Automating Actualisation of Geographic Information Using the Twofold Fuzzy Region Model.” International Journal of Uncertainty Fuzziness and Knowledge-based Systems 18 (3): 247–268.
APA
Charlier, N., De Tré, G., Gautama, S., & Bellens, R. (2010). Automating actualisation of geographic information using the twofold fuzzy region model. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 18(3), 247–268.
Vancouver
1.
Charlier N, De Tré G, Gautama S, Bellens R. Automating actualisation of geographic information using the twofold fuzzy region model. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS. 2010;18(3):247–68.
MLA
Charlier, Niels, Guy De Tré, Sidharta Gautama, et al. “Automating Actualisation of Geographic Information Using the Twofold Fuzzy Region Model.” INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 18.3 (2010): 247–268. Print.
@article{950506,
  abstract     = {In this paper a new method is proposed for automating quality control and actualisation of spatial information using image data. A new model for imperfect geographic information is explored for this purpose: a two fold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. This model is used to interpret spatial classifications and its imperfections in a new way. By defining different operators on the model an imprecise quality report can be developped for geographic databases that uses the imperfect spatial classification as reference information. The model makes it possible, despite the large amount of imperfection in spatial classifications, to use them for rather accurate error detection on geographic databases.},
  author       = {Charlier, Niels and De Tr{\'e}, Guy and Gautama, Sidharta and Bellens, Rik},
  issn         = {0218-4885},
  journal      = {INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS},
  keyword      = {qualitative spatial reasoning,Geographical information systems,imperfect data modelling,image processing,fuzzy sets,SPATIAL-ANALYSIS,SETS},
  language     = {eng},
  number       = {3},
  pages        = {247--268},
  title        = {Automating actualisation of geographic information using the twofold fuzzy region model},
  url          = {http://dx.doi.org/10.1142/S0218488510006520},
  volume       = {18},
  year         = {2010},
}

Altmetric
View in Altmetric
Web of Science
Times cited: