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Remote Sensing in 3D Indoor Mapping and BIM Reconstruction

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 31

Special Issue Editor


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Guest Editor
Geomatics Research Group, Faculty of Engineering Technology, KU Leuven, Gent, Belgium
Interests: building information modeling (BIM); 3D reconstruction; point cloud; laser scanning; photogrammetry; machine learning; construction monitoring
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Special Issue Information

Dear Colleagues,

This is the second Special Issue concerning the contributions of “3D Indoor Mapping and BIM Reconstruction” (https://www.mdpi.com/journal/remotesensing/special_issues/3D_indoor_BIM).

The digital reconstruction of buildings and infrastructure is being extensively researched. The resulting enriched BIM and GIS models of built assets are becoming increasingly important for facility management, project planning, and refurbishment. However, the current state of the art is not yet able to produce the required geometries in a reliable unsupervised manner.

Typically, point cloud data or photogrammetric inputs are used to reconstruct the digital assets in the built environment. This requires the unsupervised interpretation of the scenery and the automated parameter extraction for the widely varying domain-specific objects, i.e., heritage, structure, MEP, and architecture finishes. In the last few years, there has been intense research activity towards the automated modeling of BIM/GIS. However, there is still important work to be done involving (i) the production and processing of highly accurate point clouds, (ii) scene interpretation including semantic segmentation, and (iii) parameter extraction for the final BIM/GIS models.

This Special Issue will collect new technologies and methodologies that target the above objectives. We welcome submissions that cover, but are not limited to, the following:

  • Geometric evaluation of mapping systems;
  • Indoor data structures and models;
  • Scan-vs-BIM and building change detection;
  • Automated data analysis of 3D data (segmentation, classification, etc.);
  • Indoor reconstruction;
  • Scan-to-BIM standards (e.g., IFC);
  • Scan-to-GIS standards (e.g., CityGML);
  • Multi-dimensional model representations (4D, 5D, etc.).

Dr. Maarten Bassier
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • point cloud processing
  • 3D reconstruction
  • classification
  • meshing
  • spatial analysis
  • BIM
  • GIS

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