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  • Revising cadastral data on land boundaries using deep learning in image-based mapping [Elektronski vir]
    Fetai, Bujar ; Grigillo, Dejan ; Lisec, Anka, geodezija, 1978-
    Geospatial data and information within contemporary land administration systems are fundamental to manage the territory adequately. 3D land administration systems, often addressed as 3D cadastre, ... promise several benefits, particularly in managing todays complex built environment, but these are currently still non-existent in their full capacity. The development of any complex information and administration system, such as a land administration system, is time-consuming and costly, particularly during the phase of evaluation and testing. In this regard, the process of implementing such systems may benefit from using synthetic data. In this study, the method for simulating the 3D cadastral dataset is presented and discussed. The dataset is generated using a procedural modelling method, referenced to real cadastral data for the Slovenian territory and stored in a spatial database management system (DBMS) that supports storage of 3D spatial data. Spatial queries, related to 3D cadastral data management, are used to evaluate the database performance and storage characteristics, and 3D visualisation options. The results of the study show that the method is feasible for the simulation of large-scale 3D cadastral datasets. Using the developed spatial queries and their performance analysis, we demonstrate the importance of the simulated dataset for developing efficient 3D cadastral data management processes.
    Source: ISPRS international journal of geo-information [Elektronski vir]. - ISSN 2220-9964 (Letn. 11, št. 5, art. 298, Maj 2022, 17 str.)
    Type of material - e-article ; adult, serious
    Publish date - 2022
    Language - english
    COBISS.SI-ID - 107071235

    Link(s):

    https://www.mdpi.com/2220-9964/11/5/298
    Repository of the University of Ljubljana – RUL
    DOI

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