Assessing the potential of a low-cost 3-D sensor in shallow-water bathymetry
Highly detailed 3-D geoinformation about bathymetry is crucial to understand a wide range of processes and conditions in the geosciences. Recently, low-cost sensors such as Microsoft's structured-light 3-D camera Kinect for Xbox 360 have been deployed to complement established sources of 3-D ba...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
06 July 2017
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| In: |
IEEE geoscience and remote sensing letters
Year: 2017, Volume: 14, Issue: 8, Pages: 1388-1392 |
| Online Access: |
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| Author Notes: | Florian Klopfer, Martin Hämmerle, and Bernhard Höfle |
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| 245 | 1 | 0 | |a Assessing the potential of a low-cost 3-D sensor in shallow-water bathymetry |c Florian Klopfer, Martin Hämmerle, and Bernhard Höfle |
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| 520 | |a Highly detailed 3-D geoinformation about bathymetry is crucial to understand a wide range of processes and conditions in the geosciences. Recently, low-cost sensors such as Microsoft's structured-light 3-D camera Kinect for Xbox 360 have been deployed to complement established sources of 3-D bathymetric data like light detection and ranging or sound navigation and ranging. In this letter, we assess the Kinect's applicability to capture the bathymetry of shallow waters. Therefore, the maximum capturing range through water, accuracy, and precision of Kinect measurements are examined. Additionally, we test a recording setup which allows for the mitigation of waves and which features advantages in terms of refraction correction on a scene containing submerged gravels. As a result, water depths of 30 cm (outdoors) and 40 cm (indoors) can be penetrated. The accomplished accuracy [mean standard deviation (SD) 7 mm] and precision values (mean SD 3.1 mm) are similar to the ones achieved by terrestrial laser scanning bathymetry. Derived gravel sizes highly correspond to the manual reference measurements. Overall, the findings show the Kinect's applicability in researching shallow natural water bodies. | ||
| 650 | 4 | |a 3-D bathymetric data sources | |
| 650 | 4 | |a 3-D geoinformation | |
| 650 | 4 | |a bathymetry | |
| 650 | 4 | |a Cameras | |
| 650 | 4 | |a Data acquisition | |
| 650 | 4 | |a depth 30 cm | |
| 650 | 4 | |a depth 40 cm | |
| 650 | 4 | |a Distance measurement | |
| 650 | 4 | |a Granulometry | |
| 650 | 4 | |a kinect | |
| 650 | 4 | |a light detection and ranging | |
| 650 | 4 | |a low-cost 3-D sensor | |
| 650 | 4 | |a manual reference measurements | |
| 650 | 4 | |a maximum capturing range | |
| 650 | 4 | |a Microsoft structured-light 3-D camera | |
| 650 | 4 | |a ocean waves | |
| 650 | 4 | |a oceanographic equipment | |
| 650 | 4 | |a oceanographic techniques | |
| 650 | 4 | |a Optical surface waves | |
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