{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T21:16:58Z","timestamp":1775078218941,"version":"3.50.1"},"reference-count":35,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T00:00:00Z","timestamp":1667174400000},"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":["319798"],"award-info":[{"award-number":["319798"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Structure-from-Motion Multi-View Stereo (SfM-MVS) photogrammetry is a viable method to digitize underground spaces for inspection, documentation, or remote mapping. However, the conventional image acquisition process can be laborious and time-consuming. Previous studies confirmed that the acquisition time can be reduced when using a 360-degree camera to capture the images. This paper demonstrates a method for rapid photogrammetric reconstruction of tunnels using a 360-degree camera. The method is demonstrated in a field test executed in a tunnel section of the Underground Research Laboratory of Aalto University in Espoo, Finland. A 10 m-long tunnel section with exposed rock was photographed using the 360-degree camera from 27 locations and a 3D model was reconstructed using SfM-MVS photogrammetry. The resulting model was then compared with a reference laser scan and a more conventional digital single-lens reflex (DSLR) camera-based model. Image acquisition with a 360-degree camera was 3\u00d7 faster than with a conventional DSLR camera and the workflow was easier and less prone to errors. The 360-degree camera-based model achieved a 0.0046 m distance accuracy error compared to the reference laser scan. In addition, the orientation of discontinuities was measured remotely from the 3D model and the digitally obtained values matched the manual compass measurements of the sub-vertical fracture sets, with an average error of 2\u20135\u00b0.<\/jats:p>","DOI":"10.3390\/rs14215494","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T06:49:02Z","timestamp":1667371742000},"page":"5494","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Rapid Photogrammetry with a 360-Degree Camera for Tunnel Mapping"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7365-2777","authenticated-orcid":false,"given":"Mateusz","family":"Janiszewski","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2102-0946","authenticated-orcid":false,"given":"Masoud","family":"Torkan","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9646-5029","authenticated-orcid":false,"given":"Lauri","family":"Uotinen","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland"}]},{"given":"Mikael","family":"Rinne","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, School of Engineering, Aalto University, 02150 Espoo, Finland"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.isprsjprs.2018.07.010","article-title":"Tunnel inspection using photogrammetric techniques and image processing: A review","volume":"144","author":"Attard","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hudson, J., and Harrison, J. (2000). Engineering Rock Mechanics: An Introduction to the Principles, Elsevier. [2nd ed.].","DOI":"10.1016\/B978-008043010-2\/50002-2"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.tust.2018.09.026","article-title":"Structure from Motion photogrammetry to characterize underground rock masses: Experiences from two real tunnels","volume":"83","author":"Senent","year":"2019","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_4","first-page":"461","article-title":"Photogrammetry for recording rock surface geometry and fracture characterization","volume":"Volume 6","author":"Rocca","year":"2019","journal-title":"Proceedings of the Earth and Geosciences, the 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019)"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.cageo.2014.03.014","article-title":"A new approach for semi-automatic rock mass joints recognition from 3D point clouds","volume":"68","author":"Riquelme","year":"2014","journal-title":"Comput. Geosci."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Ding, Q., Wang, F., Chen, J., Wang, M., and Zhang, X. (2022). Research on Generalized RQD of Rock Mass Based on 3D Slope Model Established by Digital Close-Range Photogrammetry. Remote Sens., 14.","DOI":"10.3390\/rs14092275"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Torkan, M., Janiszewski, M., Uotinen, L., Baghbanan, A., and Rinne, M. (2022). Photogrammetric Method to Determine Physical Aperture and Roughness of a Rock Fracture. Sensors, 22.","DOI":"10.3390\/s22114165"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.5194\/isprs-archives-XLIII-B2-2020-1137-2020","article-title":"Cost-benefit analysis of rail tunnel inspection for photogrammetry and laser scanning","volume":"XLIII-B2-2020","author":"Panella","year":"2020","journal-title":"ISPRS\u2014Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/j.tust.2010.04.008","article-title":"Geotechnical and operational applications for 3-dimensional laser scanning in drill and blast tunnels","volume":"25","author":"Fekete","year":"2010","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.jsg.2017.04.004","article-title":"LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models","volume":"98","author":"Cawood","year":"2017","journal-title":"J. Struct. Geol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Francioni, M., Simone, M., Stead, D., Sciarra, N., Mataloni, G., and Calamita, F. (2019). A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes. Remote Sens., 11.","DOI":"10.3390\/rs11111267"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1098\/rspb.1979.0006","article-title":"The interpretation of structure from motion","volume":"203","author":"Ulman","year":"1979","journal-title":"Proc. R. Soc. Lond. B. Biol Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from Scale-Invariant Keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1145\/1141911.1141964","article-title":"Photo tourism: Exploring photo collections in 3D","volume":"25","author":"Snavely","year":"2006","journal-title":"ACM Trans. Graph."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/0600000052","article-title":"Multi-View Stereo: A Tutorial","volume":"9","author":"Furukawa","year":"2015","journal-title":"Found. Trends Comput. Graph. Vis."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.geomorph.2012.08.021","article-title":"\u2018Structure-from-Motion\u2019 photogrammetry: A low-cost, effective tool for geoscience applications","volume":"179","author":"Westoby","year":"2012","journal-title":"Geomorphology"},{"key":"ref_17","unstructured":"Janiszewski, M., Uotinen, L., Baghbanan, A., and Rinne, M. (2020, January 14\u201319). Digitisation of hard rock tunnel for remote fracture mapping and virtual training environment. Proceedings of the ISRM International Symposium\u2014EUROCK 2020, Trondheim, Norway. Physical Event Not Held, ISRM-EUROCK-2020-056."},{"key":"ref_18","unstructured":"Prittinen, M. (2021). Comparison of Camera Equipment for Photogrammetric Digitization of Hard Rock Tunnel Faces. [Master\u2019s Thesis, Aalto University]."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"573","DOI":"10.5194\/isprs-archives-XLII-2-W3-573-2017","article-title":"Fisheye photogrammetry: Tests and methodologies for the survey of narrow spaces","volume":"XLII-2\/W3","author":"Perfetti","year":"2017","journal-title":"Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"331","DOI":"10.5194\/isprs-archives-XLII-2-331-2018","article-title":"Improving spherical photogrammetry using 360\u00b0 omni-cameras: Use cases and new applications","volume":"XLII-2","author":"Fangi","year":"2018","journal-title":"Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"69","DOI":"10.5194\/isprs-archives-XLII-2-69-2018","article-title":"2018 Can we use low-cost 360-degree cameras to create accurate 3d models?","volume":"XLII-2","author":"Barazzetti","year":"2018","journal-title":"Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Barazzetti, L., Previtali, M., and Scaioni, M. (2020). Procedures for Condition Mapping Using 360\u00b0 Images. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9010034"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Teppati Los\u00e8, L., Chiabrando, F., and Giulio Tonolo, F. (2021). Documentation of Complex Environments Using 360\u00b0 Cameras. The Santa Marta Belltower in Montanaro. Remote Sens., 13.","DOI":"10.3390\/rs13183633"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Herban, S., Costantino, D., Alfio, V.S., and Pepe, M. (2022). Use of Low-Cost Spherical Cameras for the Digitisation of Cultural Heritage Structures into 3D Point Clouds. J. Imaging, 8.","DOI":"10.3390\/jimaging8010013"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Janiszewski, M., Prittinen, M., Torkan, M., and Uotinen, L. (2022, January 12\u201315). Rapid tunnel scanning using a 360-degree camera and SfM photogrammetry. Proceedings of the EUROCK 2022, Espoo, Finland. accepted.","DOI":"10.1088\/1755-1315\/1124\/1\/012010"},{"key":"ref_26","unstructured":"Cox, H. (2022, August 17). Advanced Post-Processing Tips: Three-Step Sharpening. Available online: https:\/\/photographylife.com\/landscapes\/advanced-post-processing-tips-three-step-sharpening."},{"key":"ref_27","unstructured":"(2022, August 15). RealityCapture, Version 1.2, by CapturingReality. Available online: www.capturingreality.com."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yue, P., Zhang, G., Guan, T., Lv, M., and Zhong, D. (2019). Augmented Reality Mapping of Rock Mass Discontinuities and Rockfall Susceptibility Based on Unmanned Aerial Vehicle Photogrammetry. Remote Sens., 11.","DOI":"10.3390\/rs11111311"},{"key":"ref_29","unstructured":"Janiszewski, M., Uotinen, L., Merkel, J., Leveinen, J., and Rinne, M. (July, January 28). Virtual reality Learning Environments for Rock Engineering, Geology and Mining Education. Proceedings of the 54th U.S. Rock Mechanics\/Geomechanics Symposium, Denver, CO, USA. Available online: https:\/\/onepetro.org\/ARMAUSRMS\/proceedings-abstract\/ARMA20\/All-ARMA20\/ARMA-2020-1101\/447531."},{"key":"ref_30","unstructured":"Jastrzebski, J. (2018). Virtual Underground Training Environment. [Master\u2019s Thesis, Aalto University]."},{"key":"ref_31","unstructured":"Zhang, X. (2021). A Gamifed Rock Engineering Teaching System. [Master\u2019s Thesis, Aalto University]."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"012046","DOI":"10.1088\/1755-1315\/703\/1\/012046","article-title":"Visualization of 3D rock mass properties in underground tunnels using extended reality","volume":"703","author":"Janiszewski","year":"2021","journal-title":"IOP Conf. Ser. Earth Environ. Sci."},{"key":"ref_33","unstructured":"(2022, August 15). CloudCompare, Version 2.12.4. Available online: https:\/\/https:\/\/www.cloudcompare.org\/."},{"key":"ref_34","unstructured":"Bauer, A., Gutjahr, K., Paar, G., Kontrus, H., and Glatzl, R. (2015, January 22). Tunnel Surface 3D Reconstruction from Unoriented Image Sequences. Proceedings of the OAGM Workshop 2015, Available online: https:\/\/arxiv.org\/abs\/1505.06237."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"046011","DOI":"10.1117\/1.JRS.10.046011","article-title":"Evaluation of automated underground mapping solutions for mining and civil engineering applications","volume":"10","author":"Eyre","year":"2016","journal-title":"J. Appl. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5494\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:07:07Z","timestamp":1760144827000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5494"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,31]]},"references-count":35,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14215494"],"URL":"https:\/\/doi.org\/10.3390\/rs14215494","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,31]]}}}