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Remote sensing of environment v.209, 2018년, pp.19 - 30   SCI SCIE
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First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules

Dumke, Ines (Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Otto Nielsens vei 10, 7491 Trondheim, Norway ) ; Nornes, Stein M. (Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Otto Nielsens vei 10, 7491 Trondheim, Norway ) ; Purser, Autun (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany ) ; Marcon, Yann (Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany ) ; Ludvigsen, Martin (Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Otto Nielsens vei 10, 7491 Trondheim, Norway ) ; Ellefmo, Steinar L. (Department of Geoscience and Petroleum, Norwegian University of Science and Technology (NTNU), Sem Sælands vei 1, 7491 Trondheim, Norway ) ; Johnsen, Geir (Centre for Autonomous Marine Operations and Systems, Department of Biology, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway ) ; Søreide, Fredrik (Department of Marine Technology, Norwegian Universit ) ;
  • 초록  

    Abstract Hyperspectral seafloor surveys using airborne or spaceborne sensors are generally limited to shallow coastal areas, due to the requirement for target illumination by sunlight. Deeper marine environments devoid of sunlight cannot be imaged by conventional hyperspectral imagers. Instead, a close-range, sunlight-independent hyperspectral survey approach is required. In this study, we present the first hyperspectral image data from the deep seafloor. The data were acquired in approximately 4200 m water depth using a new Underwater Hyperspectral Imager (UHI) mounted on a remotely operated vehicle (ROV). UHI data were recorded for 112 spectral bands between 378 nm and 805 nm, with a high spectral (4 nm) and spatial resolution (1 mm per image pixel). The study area was located in a manganese nodule field in the Peru Basin (SE Pacific), close to the DISCOL (DISturbance and reCOLonization) experimental area. To test whether underwater hyperspectral imaging can be used for detection and mapping of mineral deposits in potential deep-sea mining areas, we compared two supervised classification methods, the Support Vector Machine (SVM) and the Spectral Angle Mapper (SAM). The results show that SVM is superior to SAM and is able to accurately detect nodule surfaces. The UHI therefore represents a promising tool for high-resolution seafloor exploration and characterisation prior to resource exploitation. Highlights We present the first hyperspectral image data from the deep seafloor. The data were acquired with a new UHI in 4200 m water depth. Supervised classification is able to detect manganese nodules and fauna. The UHI is a promising tool for high-resolution seafloor exploration and monitoring.


  • 주제어

    Hyperspectral imaging .   Underwater Hyperspectral Imager (UHI) .   Manganese nodules .   DISCOL .   Supervised classification .   Support Vector Machine .   Spectral Angle Mapper.  

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