{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T03:25:58Z","timestamp":1771125958944,"version":"3.50.1"},"reference-count":37,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2015,12,16]],"date-time":"2015-12-16T00:00:00Z","timestamp":1450224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper discusses the issue of automation of orthoimage generation based on Terrestrial Laser Scanning (TLS) data and digital images. The following two problems are discussed: automatic generation of projection planes based on TLS data, and automatic orientation of digital images in relation to TLS data. The majority of popular software applications use manual definitions of projection planes. However, the authors propose an original software tool to address the first issue, which defines important planes based on a TLS point cloud utilizing different algorithms (RANdom SAmple Consensus\u2013RANSAC, Hough transform, \u201cregion growing\u201d). To address the second task, the authors present a series of algorithms for automated digital image orientation in relation to a point cloud. This is important in cases where scans and images are acquired from different places and at different times. The algorithms utilize Scale Invariant Feature Transform(SIFT) operators in order to find points that correspond in reflectance intensity between coloure images (Red Green Blue\u2014RGB) and orthoimages, based on TLS data. The paper also presents a verification method using SIFT and Speeded-Up Robust Features (SURF) operators. The research results in an original tool and applied Computer Vision(CV) algorithms that improve the process of orthoimage generation.<\/jats:p>","DOI":"10.3390\/rs71215869","type":"journal-article","created":{"date-parts":[[2015,12,16]],"date-time":"2015-12-16T10:11:27Z","timestamp":1450260687000},"page":"16963-16985","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A New Approach to the Generation of Orthoimages of Cultural Heritage Objects\u2014Integrating TLS and Image Data"],"prefix":"10.3390","volume":"7","author":[{"given":"Jakub","family":"Markiewicz","sequence":"first","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, sqr. Politechniki 1, Warsaw 00-661, Poland"}]},{"given":"Piotr","family":"Podlasiak","sequence":"additional","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, sqr. Politechniki 1, Warsaw 00-661, Poland"}]},{"given":"Dorota","family":"Zawieska","sequence":"additional","affiliation":[{"name":"Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology, sqr. Politechniki 1, Warsaw 00-661, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2015,12,16]]},"reference":[{"key":"ref_1","first-page":"413","article-title":"Theoretical and practical aspects of archaeological orthoimaging","volume":"34","author":"Mavromati","year":"2002","journal-title":"Int. Arch. Photogram. Remote Sens."},{"key":"ref_2","unstructured":"Guarnieri, A., Remondino, F., and Vettore, A. (2006, January 25\u201327). Digital photogrammetry and TLS data fusion applied to Cultural Heritage 3D modeling. Proceedings of the ISPRS Commission V Symposium Image Engineering and Vision Metrology, Dresden, Germany."},{"key":"ref_3","first-page":"213","article-title":"Comparison methods of terrestrial laser scanning, photogrammetry and tacheometry data for recording of cultural heritage buildings","volume":"37","author":"Grussenmeyer","year":"2008","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3037","DOI":"10.1016\/j.jas.2010.06.031","article-title":"Terrestrial laser scanning intensity data applied to damage detection for historical buildings","volume":"37","year":"2010","journal-title":"J. Archaeol. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Giuliano, M.G. (2014). Cultural heritage: An example of graphical documentation with automated photogrammetric systems. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci.","DOI":"10.5194\/isprsarchives-XL-5-251-2014"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kersten, T., Mechelke, K., and Maziull, L. (2015, January 25\u201327). 3D model of al zubarah fortress in Qatar\u2014Terrestrial laser scanning vs. dense image matching. Proceeding of the International Archives of the Photogrammetry, Remote Sensing Spatial Information Science, 2015 3D Virtual Reconstruction and Visualization of Complex Architectures, Avila, Spain.","DOI":"10.5194\/isprsarchives-XL-5-W4-1-2015"},{"key":"ref_7","unstructured":"Ippoliti, E., Meschini, A., and Sicuranza, F. (2015, January 25\u201327). Structure from motion systems for architectural heritage. A survey of the internal loggia courtyard of Palazzo Dei Capitani, Ascoli Piceno, Italy. Proceeding of the International Archives of the Photogrammetry, Remote Sensing Spatial Information Science, 2015 3D Virtual Reconstruction and Visualization of Complex Architectures, Avila, Spain."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ballabeni, A., Apollonio, F.I., Gaiani, M., and Remondino, F. (2015, January 25\u201327). Advances in image pre-processing to improve automated 3D reconstruction. Proceeding of the International Archives of the Photogrammetry, Remote Sensing Spatial Information Science, 2015 3D Virtual Reconstruction and Visualization of Complex Architectures, Avila, Spain.","DOI":"10.5194\/isprsarchives-XL-5-W4-315-2015"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5785","DOI":"10.3390\/s140405785","article-title":"Minimal camera networks for 3D image based modeling of cultural heritage objects","volume":"14","author":"Alsadik","year":"2014","journal-title":"Sensors"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"91","DOI":"10.5194\/isprsarchives-XL-5-W7-91-2015","article-title":"SfM for orthophoto generation: A winning approach for cultural heritage knowledge","volume":"1","author":"Chiabrando","year":"2015","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"395","DOI":"10.5194\/isprsarchives-XL-5-395-2014","article-title":"Terrestrial scanning or digital images in inventory of monumental objects? Case study","volume":"5","author":"Markiewicz","year":"2014","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_12","unstructured":"Ramos, M.M., and Remondino, F. (September, January 31). Data fusion in cultural heritage\u2014A review. Proceeding of the 25th International CIPA Symposium on The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Taipei, Taiwan."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Luhmann, T., Robson, S., Kyle, S., and Boehm, J. (2013). Close Range Photogrammetry and 3D Imaging, Walter De Gruyter. [2nd ed.].","DOI":"10.1515\/9783110302783"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.isprsjprs.2008.10.002","article-title":"An automatic procedure for co-registration of terrestrial laser scanners and digital cameras","volume":"64","year":"2009","journal-title":"ISPRS J. Photogram. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.3390\/rs3061104","article-title":"Heritage recording and 3D modeling with photogrammetry and 3D scanning","volume":"3","author":"Remondino","year":"2011","journal-title":"Remote Sens."},{"key":"ref_16","unstructured":"Georgopoulos, A., Tsakiri, M., Ioannidis, C., and Kakli, A. (2004, January 12\u201323). Large scale orthophotography using DTM from terrestrial laser scanning. Proceeding of the International Archives of the Photogrammetry, Remote Sensing Spatial Information Science, Istanbul, Turkey."},{"key":"ref_17","unstructured":"Georgopoulos, A., Makris, G.N., and Dermentzopoulos, A. (October, January 26). An alternative method for large scale orthophoto production. Proceedings of the CIPA 2005 XX International Symposium, Torino, Italy."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Markiewicz, J.S., Podlasiak, P., and Zawieska, D. (2015). Attempts to automate the process of generation of orthoimages of objects of cultural heritage. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci.","DOI":"10.5194\/isprsarchives-XL-5-W4-393-2015"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"229","DOI":"10.5194\/isprsarchives-XXXIX-B5-229-2012","article-title":"An automatic procedure for combining digital images and laser scanner data","volume":"39","author":"Moussa","year":"2012","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_20","unstructured":"Meierhold, N., Spehr, M., Schilling, A., Gumhold, S., and Maas, H.G. (2010, January 21\u201324). Automatic feature matching between digital images and 2D representations of a 3D laser scanner point cloud. Proceedings of the ISPRS Commission V Mid-Term Symposium on Close Range Image Measurement Techniques, Newcastle upon Tyne, UK."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1145\/358669.358692","article-title":"Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography","volume":"24","author":"Fischler","year":"1981","journal-title":"Comm. ACM"},{"key":"ref_22","unstructured":"PCL. Available online: http:\/\/pointclouds.org\/."},{"key":"ref_23","unstructured":"Hough, P.V.C. (1962). Method and Means for Recognizing Complex Patterns. (3,069,654), U.S. Patent."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1145\/361237.361242","article-title":"Use of the Hough transformation to detect lines and curves in pictures","volume":"15","author":"Duda","year":"1972","journal-title":"Commun. ACM"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/0031-3203(81)90009-1","article-title":"Generalizing the Hough transform to detect arbitrary shapes","volume":"13","author":"Ballard","year":"1981","journal-title":"Pattern Recognit."},{"key":"ref_26","first-page":"296","article-title":"Automatic 3D building reconstruction from airborne laser scanning and cadastral data using Hough transform","volume":"35","author":"Overby","year":"2004","journal-title":"Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant key points","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_28","unstructured":"Bay, H., Tuytelaars, T., and van Gool, L. SURF: Speeded Up Robust Features. Available online: www.vision.ee.ethz.ch\/~surf\/eccv06.pdf."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Markiewicz, J.S., Zawieska, D., Kowalczyk, M., and Zap\u0142ata, R. (2014, January 19\u201325). Utilisation of laser scanning for inventory of an architectural object using the example of ruins of the Krakow Bishops\u2019 Castle in Ilza, Poland. Proceeding of the 14th GeoConference on Informatics Geoinformatics and Remote Sensing, Ilza, Poland.","DOI":"10.5593\/SGEM2014\/B23\/S10.049"},{"key":"ref_30","unstructured":"Bradski, G., and Kaehler, A. (2008). Learning OpenCV Computer Vision with the OpenCV Library, O\u2019Reilly Media."},{"key":"ref_31","unstructured":"OpenCV. Available online: http:\/\/opencv.org\/."},{"key":"ref_32","unstructured":"3D Reconstruction Using the Direct Linear Transform with a Gabor Wavelet Based Correspondence Measure. Available online: http:\/\/bardsley.org.uk\/wp-content\/uploads\/2007\/02\/3d-reconstruction-using-the-direct-linear-transform.pdf."},{"key":"ref_33","unstructured":"Direct Linear Transformation(DLT). Available online: https:\/\/me363.byu.edu\/sites\/me363.byu.edu\/files\/userfiles\/5\/DLTNotes.pdf."},{"key":"ref_34","first-page":"347","article-title":"Can 3D point clouds replace GCPs","volume":"5","author":"Stavropoulou","year":"2014","journal-title":"ISPRS Ann. Photogram. Remote Sens. Spat. Inf. Sci."},{"key":"ref_35","unstructured":"Cloud Compare. Available online: http:\/\/www.danielgm.net\/cc\/."},{"key":"ref_36","unstructured":"OpenMVG. Available online: http:\/\/imagine.enpc.fr\/~moulonp\/openMVG\/index.html."},{"key":"ref_37","unstructured":"OpenMVG. Available online: https:\/\/openmvg.readthedocs.org\/en\/latest\/."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/12\/15869\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:54:08Z","timestamp":1760216048000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/12\/15869"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,16]]},"references-count":37,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2015,12]]}},"alternative-id":["rs71215869"],"URL":"https:\/\/doi.org\/10.3390\/rs71215869","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,16]]}}}