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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2/W10-2025
https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-95-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-95-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Jul 2025
| 07 Jul 2025
Combining imaging sonar and photogrammetry for underwater object localization and mapping
Michael Grömer
Verbund Hydro Power GmbH, Vienna, Austria
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Benjamin Wild
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Camillo Ressl
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Johannes Otepka
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Gottfried Mandlburger
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 933–939, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, 2016
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