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

IF 0.3 Q4 REMOTE SENSING
Małgorzata Mendela-Anzlik, A. Borkowski
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引用次数: 0

Abstract

Abstract 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.
基于机载激光扫描数据的建筑物几何信息地物数据库验证与更新
摘要机载激光扫描数据主要用于建立精确的数字高程模型。然而,ALS数据中存储的信息潜力似乎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。本研究将ALS作为支持数据源。本文提出的使用alpha形状算法的原始ALS数据阈值化方法允许提取代表建筑物墙壁水平截面的点,从而创建建筑物的矢量几何模型,然后用于更新BDOT10k。这种方法还提供了在建筑物几何信息中轻松验证BDOT10k和地区EGiB数据库的最新情况的可能性。为了验证所建议的方法,使用了密度为4点/平方米的ALS分类数据。通过与相应的EGiB对象进行比较,对已识别的建筑物轮廓进行了准确性评估。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。与此同时,一些物体的几何形状也出现了巨大的差异。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造成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
28.60%
发文量
5
审稿时长
12 weeks
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