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- W4383898077 abstract "The authors of the paper attempt to solve the problem of detecting and identifying aviation obstacles placed on aviation navigation maps. For this purpose, the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) were used. The obtained results were compared with the aviation obstacles included in the Vector Map Level1 (VML1). The methodology presented here allowed for the identification of additional 121 aviation obstacles that were not included in the VML1 (51 % more). The article also discusses the limitations of the applied methodology. They are mainly related to the problems with the identification of tall, narrow, open-work structures by the DSM. The proposed methodology enables fast verification of the content of the database of aviation obstacles that are included in navigation maps and improves the process of their identification, which is currently based on time-consuming field measurements." @default.
- W4383898077 created "2023-07-12" @default.
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- W4383898077 date "2023-05-23" @default.
- W4383898077 modified "2023-10-16" @default.
- W4383898077 title "Methodology of identifying aviation obstacles with the use of LIDAR data" @default.
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- W4383898077 doi "https://doi.org/10.1109/icmt58149.2023.10171333" @default.
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