MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES
Artificial reefs provide an efficient way to improve marine life abundance in the oceans, including growth on the structure itself. Photogrammetric methods provide suitable tools to measure marine growth. This paper focusses on cubic reefs placed in Western Australia. The capturing platform featured...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-08-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/999/2020/isprs-archives-XLIII-B2-2020-999-2020.pdf |
| _version_ | 1818894517361704960 |
|---|---|
| author | R. Rofallski C. Tholen P. Helmholz I. Parnum T. Luhmann |
| author_facet | R. Rofallski C. Tholen P. Helmholz I. Parnum T. Luhmann |
| author_sort | R. Rofallski |
| collection | DOAJ |
| description | Artificial reefs provide an efficient way to improve marine life abundance in the oceans, including growth on the structure itself. Photogrammetric methods provide suitable tools to measure marine growth. This paper focusses on cubic reefs placed in Western Australia. The capturing platform featured a photogrammetric multi-sensor system for unmanned underwater vehicles attached to a low-cost vehicle BlueROV2. The multi-sensor system and its photogrammetric data captured was calibrated, adjusted and analyzed employing a structure-from-motion processing pipeline. Novel automated image masking techniques were developed and applied to the data to significantly reduce noise in the derived dense point clouds. Results show improvements of signal to noise ratio of more than 50 %, while maintaining a complete representation of the observed artificial reef. |
| first_indexed | 2024-12-19T18:29:45Z |
| format | Article |
| id | doaj.art-5c750c8019514757b30067d0d5dfb899 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T18:29:45Z |
| publishDate | 2020-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-5c750c8019514757b30067d0d5dfb8992022-12-21T20:10:45ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B2-2020999100810.5194/isprs-archives-XLIII-B2-2020-999-2020MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLESR. Rofallski0C. Tholen1P. Helmholz2I. Parnum3T. Luhmann4Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, GermanyDept. of Engineering Sciences, Jade University of Applied Sciences, Wilhelmshaven, GermanySpatial Sciences, Curtin University, Bentley, Western AustraliaCentre for Marine Science and Technology, Curtin University, Bentley, Western AustraliaInstitute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, GermanyArtificial reefs provide an efficient way to improve marine life abundance in the oceans, including growth on the structure itself. Photogrammetric methods provide suitable tools to measure marine growth. This paper focusses on cubic reefs placed in Western Australia. The capturing platform featured a photogrammetric multi-sensor system for unmanned underwater vehicles attached to a low-cost vehicle BlueROV2. The multi-sensor system and its photogrammetric data captured was calibrated, adjusted and analyzed employing a structure-from-motion processing pipeline. Novel automated image masking techniques were developed and applied to the data to significantly reduce noise in the derived dense point clouds. Results show improvements of signal to noise ratio of more than 50 %, while maintaining a complete representation of the observed artificial reef.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/999/2020/isprs-archives-XLIII-B2-2020-999-2020.pdf |
| spellingShingle | R. Rofallski C. Tholen P. Helmholz I. Parnum T. Luhmann MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
| title_full | MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
| title_fullStr | MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
| title_full_unstemmed | MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
| title_short | MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
| title_sort | measuring artificial reefs using a multi camera system for unmanned underwater vehicles |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/999/2020/isprs-archives-XLIII-B2-2020-999-2020.pdf |
| work_keys_str_mv | AT rrofallski measuringartificialreefsusingamulticamerasystemforunmannedunderwatervehicles AT ctholen measuringartificialreefsusingamulticamerasystemforunmannedunderwatervehicles AT phelmholz measuringartificialreefsusingamulticamerasystemforunmannedunderwatervehicles AT iparnum measuringartificialreefsusingamulticamerasystemforunmannedunderwatervehicles AT tluhmann measuringartificialreefsusingamulticamerasystemforunmannedunderwatervehicles |