MyJournals Home  

RSS FeedsRemote Sensing, Vol. 11, Pages 1972: Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds (Remote Sensing)

 
 

21 august 2019 21:02:44

 
Remote Sensing, Vol. 11, Pages 1972: Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds (Remote Sensing)
 




3D Cadastre models capture both the complex interrelations between physical objects and their corresponding legal rights, restrictions, and responsibilities. Most of the ongoing research on 3D Cadastre worldwide is focused on interrelations at the level of buildings and infrastructures. So far, the analysis of such interrelations in terms of indoor spaces, considering the time aspect, has not been explored yet. In The Netherlands, there are many examples of changes in the functionality of buildings over time. Tracking these changes is challenging, especially when the geometry of the spaces changes as well; for example, a change in functionality, from administrative to residential use of the space or a change in the geometry when merging two spaces in a building without modifying the functionality. To record the changes, a common practice is to use 2D plans for subdivisions and assign new rights, restrictions, and responsibilities to the changed spaces in a building. In the meantime, with the advances of 3D data collection techniques, the benefits of 3D models in various forms are increasingly being researched. This work explores the opportunities for using 3D point clouds to establish a platform for 3D Cadastre studies in indoor environments. We investigate the changes in time of the geometry of the building that can be automatically detected from point clouds, and how they can be linked with a Land Administration Model (LADM) and included in a 3D spatial database, to update the 3D indoor Cadastre. The results we have obtained are promising. The permanent changes (e.g., walls, rooms) are automatically distinguished from dynamic changes (e.g., human, furniture) and are linked to the space subdivisions.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
35 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1973: JupyTEP IDE as an Online Tool for Earth Observation Data Processing (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1971: Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn