MEASURING ARTIFICIAL REEFS USING A MULTI-CAMERA SYSTEM FOR UNMANNED UNDERWATER VEHICLES
| Autor: | Christoph Tholen, Petra Helmholz, Robin Rofallski, T. Luhmann, Iain Parnum |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Applied optics. Photonics
0209 industrial biotechnology geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Noise (signal processing) Computer science lcsh:T Point cloud lcsh:TA1501-1820 Marine life 02 engineering and technology Remotely operated underwater vehicle 01 natural sciences Pipeline (software) lcsh:Technology 020901 industrial engineering & automation Photogrammetry lcsh:TA1-2040 Artificial reef Underwater lcsh:Engineering (General). Civil engineering (General) Reef 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 999-1008 (2020) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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