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Kwasnitschka, Tom [Author]; Köser, Kevin [Author]; Sticklus, Jan [Author]; Rothenbeck, Marcel [Author]; Weiß, Tim [Author]; Wenzlaff, Emanuel [Author]; Schoening, Timm [Author]; Triebe, Lars [Author]; Steinführer, Anja [Author]; Devey, Colin [Author]; Greinert, Jens [Author]

DeepSurveyCam — A Deep Ocean Optical Mapping System

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  • Media type: E-Article
  • Title: DeepSurveyCam — A Deep Ocean Optical Mapping System
  • Contributor: Kwasnitschka, Tom [Author]; Köser, Kevin [Author]; Sticklus, Jan [Author]; Rothenbeck, Marcel [Author]; Weiß, Tim [Author]; Wenzlaff, Emanuel [Author]; Schoening, Timm [Author]; Triebe, Lars [Author]; Steinführer, Anja [Author]; Devey, Colin [Author]; Greinert, Jens [Author]
  • Published: MDPI, 2016-01-28
  • Language: English
  • DOI: https://doi.org/10.3390/s16020164
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • 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.
  • Access State: Open Access