{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:49:57Z","timestamp":1768258197450,"version":"3.49.0"},"reference-count":84,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T00:00:00Z","timestamp":1579651200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["272195"],"award-info":[{"award-number":["272195"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["293389"],"award-info":[{"award-number":["293389"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The importance of being able to separate the semantics from the actual (X,Y,Z) coordinates in a point cloud has been actively brought up in recent research. However, there is still no widely used or accepted data layout paradigm on how to efficiently store and manage such semantic point cloud data. In this paper, we present a simple data layout that makes use the semantics and that allows for quick queries. The underlying idea is especially suited for a programming approach (e.g., queries programmed via Python) but we also present an even simpler implementation of the underlying technique on a well known relational database management system (RDBMS), namely, PostgreSQL. The obtained query results suggest that the presented approach can be successfully used to handle point and range queries on large points clouds.<\/jats:p>","DOI":"10.3390\/ijgi9020072","type":"journal-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T11:17:57Z","timestamp":1579691877000},"page":"72","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Simple Semantic-Based Data Storage Layout for Querying Point Clouds"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7147-6925","authenticated-orcid":false,"given":"Sami","family":"El-Mahgary","sequence":"first","affiliation":[{"name":"Department of Built Environment, Aalto University, P.O. Box 11000, FI-00076 Aalto, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0281-9717","authenticated-orcid":false,"given":"Juho-Pekka","family":"Virtanen","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, P.O. Box 11000, FI-00076 Aalto, Finland"},{"name":"Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hannu","family":"Hyypp\u00e4","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, P.O. Box 11000, FI-00076 Aalto, Finland"},{"name":"Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6187","DOI":"10.1080\/01431161.2016.1256511","article-title":"Airborne laser scanning data storage and indexing: State-of-the-art review","volume":"37","author":"Vo","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","first-page":"1119","article-title":"Mobile LiDAR mapping for 3D point cloud collection in urban: A performance test","volume":"37","author":"Haala","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. 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