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Verification and Updating of the Database of Topographic Objects with Geometric Information About Buildings by Means of Airborne Laser Scanning Data

机译:利用机载激光扫描数据验证和更新具有建筑物几何信息的地形对象数据库

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Airborne laser scanning data (ALS) are used mainly for creation of precise digital elevation models. However, it appears that the informative potential stored in ALS data can be also used for updating spatial databases, including the Database of Topographic Objects (BDOT10k). Typically, geometric representations of buildings in the BDOT10k are equal to their entities in the Land and Property Register (EGiB). In this study ALS is considered as supporting data source. The thresholding method of original ALS data with the use of the alpha shape algorithm, proposed in this paper, allows for extraction of points that represent horizontal cross section of building walls, leading to creation of vector, geometric models of buildings that can be then used for updating the BDOT10k. This method gives also the possibility of an easy verification of up-to-dateness of both the BDOT10k and the district EGiB databases within geometric information about buildings. For verification of the proposed methodology there have been used the classified ALS data acquired with a density of 4 points/m2. The accuracy assessment of the identified building outlines has been carried out by their comparison to the corresponding EGiB objects. The RMSE values for 78 buildings are from a few to tens of centimeters and the average value is about 0,5 m. At the same time for several objects there have been revealed huge geometric discrepancies. Further analyses have shown that these discrepancies could be resulted from incorrect representations of buildings in the EGiB database.
机译:机载激光扫描数据(ALS)主要用于创建精确的数字高程模型。但是,似乎存储在ALS数据中的信息潜力也可以用于更新空间数据库,包括地形对象数据库(BDOT10k)。通常,BDOT10k中建筑物的几何表示与土地和财产登记册(EGiB)中的实体相同。在本研究中,ALS被视为支持数据源。本文提出的使用alpha形状算法对原始ALS数据进行阈值化的方法,可以提取代表建筑物墙体水平横截面的点,从而创建矢量,然后可以使用建筑物的几何模型用于更新BDOT10k。这种方法还提供了在建筑物的几何信息内轻松验证BDOT10k和区域EGiB数据库的最新性的可能性。为了验证所提出的方法,已使用以4点/ m 2 的密度获取的分类ALS数据。通过将识别出的建筑物轮廓与相应的EGiB对象进行比较来进行准确性评估。 78座建筑物的RMSE值从几厘米到几十厘米不等,平均值约为0.5 m。同时,对于几个物体,发现了巨大的几何差异。进一步的分析表明,这些差异可能是由于EGiB数据库中建筑物的不正确表示所导致的。

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