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DeepSurveyCam—A Deep Ocean Optical Mapping System
Underwater photogrammetry and in particular systematic visual surveys of the deep sea are by far less developed than similar techniques on land or in space. The main challenges are the rough conditions with extremely high pressure, the accessibility of target areas (container and ship deployment of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801542/ https://www.ncbi.nlm.nih.gov/pubmed/26828495 http://dx.doi.org/10.3390/s16020164 |
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author | Kwasnitschka, Tom Köser, Kevin Sticklus, Jan Rothenbeck, Marcel Weiß, Tim Wenzlaff, Emanuel Schoening, Timm Triebe, Lars Steinführer, Anja Devey, Colin Greinert, Jens |
author_facet | Kwasnitschka, Tom Köser, Kevin Sticklus, Jan Rothenbeck, Marcel Weiß, Tim Wenzlaff, Emanuel Schoening, Timm Triebe, Lars Steinführer, Anja Devey, Colin Greinert, Jens |
author_sort | Kwasnitschka, Tom |
collection | PubMed |
description | Underwater photogrammetry and in particular systematic visual surveys of the deep sea are by far less developed than similar techniques on land or in space. The main challenges are the rough conditions with extremely high pressure, the accessibility of target areas (container and ship deployment of robust sensors, then diving for hours to the ocean floor), and the limitations of localization technologies (no GPS). The absence of natural light complicates energy budget considerations for deep diving flash-equipped drones. Refraction effects influence geometric image formation considerations with respect to field of view and focus, while attenuation and scattering degrade the radiometric image quality and limit the effective visibility. As an improvement on the stated issues, we present an AUV-based optical system intended for autonomous visual mapping of large areas of the seafloor (square kilometers) in up to 6000 m water depth. We compare it to existing systems and discuss tradeoffs such as resolution vs. mapped area and show results from a recent deployment with 90,000 mapped square meters of deep ocean floor. |
format | Online Article Text |
id | pubmed-4801542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48015422016-03-25 DeepSurveyCam—A Deep Ocean Optical Mapping System Kwasnitschka, Tom Köser, Kevin Sticklus, Jan Rothenbeck, Marcel Weiß, Tim Wenzlaff, Emanuel Schoening, Timm Triebe, Lars Steinführer, Anja Devey, Colin Greinert, Jens Sensors (Basel) Article Underwater photogrammetry and in particular systematic visual surveys of the deep sea are by far less developed than similar techniques on land or in space. The main challenges are the rough conditions with extremely high pressure, the accessibility of target areas (container and ship deployment of robust sensors, then diving for hours to the ocean floor), and the limitations of localization technologies (no GPS). The absence of natural light complicates energy budget considerations for deep diving flash-equipped drones. Refraction effects influence geometric image formation considerations with respect to field of view and focus, while attenuation and scattering degrade the radiometric image quality and limit the effective visibility. As an improvement on the stated issues, we present an AUV-based optical system intended for autonomous visual mapping of large areas of the seafloor (square kilometers) in up to 6000 m water depth. We compare it to existing systems and discuss tradeoffs such as resolution vs. mapped area and show results from a recent deployment with 90,000 mapped square meters of deep ocean floor. MDPI 2016-01-28 /pmc/articles/PMC4801542/ /pubmed/26828495 http://dx.doi.org/10.3390/s16020164 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kwasnitschka, Tom Köser, Kevin Sticklus, Jan Rothenbeck, Marcel Weiß, Tim Wenzlaff, Emanuel Schoening, Timm Triebe, Lars Steinführer, Anja Devey, Colin Greinert, Jens DeepSurveyCam—A Deep Ocean Optical Mapping System |
title | DeepSurveyCam—A Deep Ocean Optical Mapping System |
title_full | DeepSurveyCam—A Deep Ocean Optical Mapping System |
title_fullStr | DeepSurveyCam—A Deep Ocean Optical Mapping System |
title_full_unstemmed | DeepSurveyCam—A Deep Ocean Optical Mapping System |
title_short | DeepSurveyCam—A Deep Ocean Optical Mapping System |
title_sort | deepsurveycam—a deep ocean optical mapping system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801542/ https://www.ncbi.nlm.nih.gov/pubmed/26828495 http://dx.doi.org/10.3390/s16020164 |
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