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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLII-4-451-2018</article-id>
<title-group>
<article-title>CHANGE DETECTION FROM POINT CLOUDS TO SUPPORT INDOOR 3D CADASTRE</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nikoohemat</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Koeva</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Oude Elberink</surname>
<given-names>S. J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lemmen</surname>
<given-names>C. H. J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dept. of Earth Observation Science, Faculty ITC, University of Twente, Enschede, The Netherlands</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2018</year>
</pub-date>
<volume>XLII-4</volume>
<fpage>451</fpage>
<lpage>901</lpage>
<permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-451-2018.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-451-2018.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-451-2018.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-4-451-2018.pdf</self-uri>
<abstract>
<p>Recently in The Netherlands, there are many examples of changes in the functionalities of buildings over time. Tracking these changes could be challenging when the building geometry will change as well; for example a change from administrative to residential use of the space, or merging two spaces in the building without updating the functionality. To record the changes, a common practice is to use 2D plans for subdivisions and to assign new rights, restrictions and responsibilities for the changes 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. The current work explores the opportunities of using the point clouds to establish a link between spatial changes and 3D Cadastre in indoor environments. We investigate the changes over time in the geometry of the building that can be automatically detected from point clouds to update the 3D indoor cadastre. The permanent changes (e.g., walls, rooms) are automatically distinguished by dynamic changes (e.g., human, furniture) and will be associated with the space subdivisions. Finally, the results will be linked to the spatial units in a Land Administration Domain Model (LADM).</p>
</abstract>
<counts><page-count count="451"/></counts>
</article-meta>
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