Automatic tag detection in multimedia survey condition
Recently, aquatic ecosystems have captured the interest of the international scientific community, spurring the development of new instruments and methodologies to explore, monitor, and preserve these environmental systems. In this context, the detection of shapes in shallow waters (either in submer...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/129/2024/isprs-archives-XLVIII-2-W7-2024-129-2024.pdf |
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| _version_ | 1846126072846876672 |
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| author | M. Russo L. Martelli R. Ravanelli A. Pini |
| author_facet | M. Russo L. Martelli R. Ravanelli A. Pini |
| author_sort | M. Russo |
| collection | DOAJ |
| description | Recently, aquatic ecosystems have captured the interest of the international scientific community, spurring the development of new instruments and methodologies to explore, monitor, and preserve these environmental systems. In this context, the detection of shapes in shallow waters (either in submerged or semi-submerged scenarios) constitutes an intriguing research topic. Our investigation is framed within the multimedia photogrammetry domain, which aims to retrieve geometric information of static objects submerged or semi-submerged in a liquid (usually water), with one or more cameras placed outside the liquid itself. Performing a photogrammetric survey of objects in shallow waters with above-water cameras remains an open research field in the domain of Optics, presenting several theoretical problems and technical bottlenecks, starting with the study of refraction behaviour. Our goal is to develop an automatically applicable methodology to estimate a priori (and correct a posteriori) the effects of refraction on camera behaviour when capturing images of submerged or semi-submerged objects under certain conditions. We therefore tested the behaviour of the cameras in a controlled environment, through different depth levels and water motion conditions, and then elaborated a mathematical model of the optical distortion phenomenon encountered. Feature extraction presents many bottlenecks, mainly due to the particular optical conditions defined by multimedia acquisition and the eventual perturbations present if the liquid is in a condition of turbulence. This paper focuses on such technical problems, presenting part of the qualitative and quantitative results obtained at this stage of our research and the approach used to resolve some detection limitations. |
| format | Article |
| id | doaj-art-a7f17998482741e89e18d9b35b3fb17a |
| institution | Kabale University |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-a7f17998482741e89e18d9b35b3fb17a2024-12-13T06:40:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-12-01XLVIII-2-W7-202412913610.5194/isprs-archives-XLVIII-2-W7-2024-129-2024Automatic tag detection in multimedia survey conditionM. Russo0L. Martelli1R. Ravanelli2A. Pini3Dept. of History, Representation and Restoration, Sapienza University of Rome, ItalyDept. of History, Representation and Restoration, Sapienza University of Rome, ItalyDept. of Geography, University of Liège, BelgiumDept. of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, ItalyRecently, aquatic ecosystems have captured the interest of the international scientific community, spurring the development of new instruments and methodologies to explore, monitor, and preserve these environmental systems. In this context, the detection of shapes in shallow waters (either in submerged or semi-submerged scenarios) constitutes an intriguing research topic. Our investigation is framed within the multimedia photogrammetry domain, which aims to retrieve geometric information of static objects submerged or semi-submerged in a liquid (usually water), with one or more cameras placed outside the liquid itself. Performing a photogrammetric survey of objects in shallow waters with above-water cameras remains an open research field in the domain of Optics, presenting several theoretical problems and technical bottlenecks, starting with the study of refraction behaviour. Our goal is to develop an automatically applicable methodology to estimate a priori (and correct a posteriori) the effects of refraction on camera behaviour when capturing images of submerged or semi-submerged objects under certain conditions. We therefore tested the behaviour of the cameras in a controlled environment, through different depth levels and water motion conditions, and then elaborated a mathematical model of the optical distortion phenomenon encountered. Feature extraction presents many bottlenecks, mainly due to the particular optical conditions defined by multimedia acquisition and the eventual perturbations present if the liquid is in a condition of turbulence. This paper focuses on such technical problems, presenting part of the qualitative and quantitative results obtained at this stage of our research and the approach used to resolve some detection limitations.https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/129/2024/isprs-archives-XLVIII-2-W7-2024-129-2024.pdf |
| spellingShingle | M. Russo L. Martelli R. Ravanelli A. Pini Automatic tag detection in multimedia survey condition The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Automatic tag detection in multimedia survey condition |
| title_full | Automatic tag detection in multimedia survey condition |
| title_fullStr | Automatic tag detection in multimedia survey condition |
| title_full_unstemmed | Automatic tag detection in multimedia survey condition |
| title_short | Automatic tag detection in multimedia survey condition |
| title_sort | automatic tag detection in multimedia survey condition |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/129/2024/isprs-archives-XLVIII-2-W7-2024-129-2024.pdf |
| work_keys_str_mv | AT mrusso automatictagdetectioninmultimediasurveycondition AT lmartelli automatictagdetectioninmultimediasurveycondition AT rravanelli automatictagdetectioninmultimediasurveycondition AT apini automatictagdetectioninmultimediasurveycondition |