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DC Field | Value | Language |
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dc.contributor.author | Attard, Leanne | - |
dc.contributor.author | Debono, Carl James | - |
dc.contributor.author | Valentino, Gianluca | - |
dc.contributor.author | Di Castro, Mario | - |
dc.date.accessioned | 2020-07-20T08:27:59Z | - |
dc.date.available | 2020-07-20T08:27:59Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Attard, L., Debono, C. J., Valentino, G., & Di Castro, M. (2018). Tunnel inspection using photogrammetric techniques and image processing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 180-188. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/58908 | - |
dc.description.abstract | During the last few decades many tunnelling projects were conducted in order to use limited land surface area more efficiently. Such underground constructions are used for transportation such as for railways, subways and roads, to host equipment used for experiments like particle accelerators, as well as for pipelines and mines. Independent of their purpose, tunnels should be regularly inspected in order to avoid accidents resulting from structure failure and to simultaneously extend their lifetime by identifying deterioration at an early stage and perform the required maintenance. Traditional methods of tunnel inspection rely on manual vision monitoring and sensing equipment that requires installation and contact with the tunnel surface. Apart from being time consuming, tedious and expensive, manual inspection is also highly dependent on human subjectivity and exposes inspection personnel to possible dangerous environments. Taking these issues into consideration, various systems were proposed to automate different procedures of tunnel inspection using photographic equipment to capture photos of the tunnel environment, apply photogrammetric and computer vision (CV) techniques and conduct image processing (IP) on them to achieve different surveying goals. This manuscript provides a collective review of the current state of the art in tunnel inspection based on photogrammetric techniques and IP. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier Ltd. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Photogrammetry | en_GB |
dc.subject | Tunnels -- Design and construction | en_GB |
dc.title | Tunnel inspection using photogrammetric techniques and image processing : a review | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1016/j.isprsjprs.2018.07.010 | - |
dc.publication.title | ISPRS Journal of Photogrammetry and Remote Sensing | en_GB |
Appears in Collections: | Scholarly Works - FacICTCCE |
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