Method for an automatic alignment of imagery and vector data applied to cadastral information in Poland
PBN-AR
Instytucja
Wydział Nauk Geograficznych i Geologicznych (Uniwersytet im. Adama Mickiewicza w Poznaniu)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
SURVEY REVIEW (15pkt w roku publikacji)
ISSN
0039-6265
EISSN
Wydawca
MANEY PUBLISHING
DOI
URL
Rok publikacji
2017
Numer zeszytu
Strony od-do
1-12
Numer tomu
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1,80
Słowa kluczowe
en
Land register
Conflation
Image
Alignment
Vector data
Texture characterisation
Streszczenia
Język
en
Treść
Nowadays, an important problem in combining vector data and imagery is that they rarely align. This problem can become particularly acute in the case of cadastral systems. In this study, and as part of the partnership between the Universities of Jaén and Adam Mickiewicz (Poznań), we provide a methodological proposal to assess the conflation procedures between cadastral vector data and imagery, improving the alignment between both data sets. To do this, we use an automatic alignment algorithm which detects road intersections from both data sets as control points by using image texture characterisation. With this method, we first train the system on the imagery to learn the road texture distribution, then we can obtain its segmentation according to its texture, and finally the system locates road intersection points. The last step is to align vector data and imagery by using different techniques. This algorithm is based on an earlier one, detailed in [Ruiz, J.J., Rubio, T.J., and Ureña, M.A., 2011b. Automatic extraction of road intersections from images in conflation processes based on texture characterization. Survey review, 43 (321), 212–225.]. However, in the updated version we have solved the problem of not-well-defined intersection points, resulting in a substantial increase in the number of intersection points employed for the final adjustment to align both products and in a reduction of the computation time. On the other hand, the positional uncertainty assessment of parcel boundary lines both before and after applying our alignment procedure between them is provided. With regard to the experimental results, in the case of Polish cadastral data this procedure allows for significant improvement in the alignment between imagery and cadastral parcels boundaries.
Cechy publikacji
discipline:Geodezja i kartografia
discipline:Geografia
discipline:Geodesy and cartography
discipline:Geography
Original article
Original article presents the results of original research or experiment.
Oryginalny artykuł naukowy
Oryginalny artykuł naukowy przedstawia rezultaty oryginalnych badań naukowych lub eksperymentu.
Inne
System-identifier
PBN-R:844458
CrossrefMetadata from Crossref logo
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