Method for an automatic alignment of imagery and vector data applied to cadastral information in Poland
| Autor: | Paweł Motek, Barbara Maćkiewicz, Tadeusz Stryjakiewicz, Juan José Ruiz-Lendínez |
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| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Cadastre ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Road texture 02 engineering and technology Texture (music) computer.software_genre 01 natural sciences Image texture Earth and Planetary Sciences (miscellaneous) Computer vision Segmentation Computers in Earth Sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences Civil and Structural Engineering business.industry Intersection (set theory) Conflation Geography Data Applied Artificial intelligence Data mining business computer |
| Zdroj: | Survey Review. 51:123-134 |
| ISSN: | 1752-2706 0039-6265 |
| DOI: | 10.1080/00396265.2017.1388959 |
| Popis: | 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 Jaen and Adam Mickiewicz (Poznan), 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 Urena, M.A., 2011b. Automat... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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