Positional Accuracy in Cartographic Data Using Linear Features Methods: Final Points, Intermediate Points, Generated Point, Vertex Influence, Double Buffer Normalization and Fuzziness Factor
In recent years, the use of linear features has been frequently investigated in cartography quality control, and several methods have been proposed to assess positional accuracy. In this sense, the present work aimed to link the tolerances defined in Decree nº 89.817, and the Technical Specification...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Brasil |
| Institución: | Universidade Federal de Uberlândia (UFU) |
| Repositorio: | Revista brasileira de cartografia - RBC (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.seer.ufu.br:article/54226 |
| Acceso en línea: | https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/54226 |
| Access Level: | acceso abierto |
| Palabra clave: | Discrepância Posicional Feições Lineares Controle de Qualidade Cartográfica Similaridade Positional discrepancy Linear Features Cartographic Quality Control Similarity |
| Sumario: | In recent years, the use of linear features has been frequently investigated in cartography quality control, and several methods have been proposed to assess positional accuracy. In this sense, the present work aimed to link the tolerances defined in Decree nº 89.817, and the Technical Specification for Quality Control of Spatial Data (ET-CQDG) in the methods of linear features: End points, Intermediate Points, Generated Point and in a proposed adaptation to the Fuzziness Factor method. In the end, such methods were compared with the linear feature methods already applied in Brazil, which are: Influence of the Vertex and Normalization of the Double Buffer. For this purpose, the planimetric positional accuracy of an orthomosaic in the municipality of Viçosa-MG was evaluated, where the results obtained showed that the methods, Final Points, Vertex Influence, Factor Fuzziness and the Buffer Double normalization method obtained classification Class A planimetric scale for the 1: 1,000 scale. The Intermediate Points and Generated Point methods, on the other hand, presented Class B in the 1: 1,000 scale. |
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