TY - JOUR
T1 - An Underwater Photogrammetric Application to Generate Micro-Bathymetry Data for Benthic Habitat Mapping and Analysis at Arctic Ocean
AU - Nejad, Amin Mardani
AU - Luhmann, Thomas
AU - Kersten, Thomas
AU - Dorschel, Boris
AU - Purser, Autun
N1 - Publisher Copyright:
© 2021 The Authors.
PY - 2021/11/2
Y1 - 2021/11/2
N2 - The Ocean Floor Observation and Bathymetry System (OFOBS) is an underwater survey platform, which is designed and developed for research in the Polar Regions by the Alfred Wegener Institute (AWI). The tailored deep tow system brought a new perspective and clarity from Arctic Ocean by its optical and acoustic sensors. During the PS101 expedition at the Karasik seamount, OFOBS provides a novel picture of megafauna’s habitats. In this study, we develop a methodology to convert the imagery dataset to micro-bathymetry in order to provide primary data for object detection and habitat mapping which will provide a better understanding of arctic benthic habitats. The methodology is based on the underwater photogrammetry workflow and two different point cloud classification methods adopted for sponge detection in 3D point clouds, to facilitate habitat mapping with a focus on the central of Karasik seamount where an extensive and dense assemblage of the Geodia sponges is dominating the seafloor.
AB - The Ocean Floor Observation and Bathymetry System (OFOBS) is an underwater survey platform, which is designed and developed for research in the Polar Regions by the Alfred Wegener Institute (AWI). The tailored deep tow system brought a new perspective and clarity from Arctic Ocean by its optical and acoustic sensors. During the PS101 expedition at the Karasik seamount, OFOBS provides a novel picture of megafauna’s habitats. In this study, we develop a methodology to convert the imagery dataset to micro-bathymetry in order to provide primary data for object detection and habitat mapping which will provide a better understanding of arctic benthic habitats. The methodology is based on the underwater photogrammetry workflow and two different point cloud classification methods adopted for sponge detection in 3D point clouds, to facilitate habitat mapping with a focus on the central of Karasik seamount where an extensive and dense assemblage of the Geodia sponges is dominating the seafloor.
KW - Underwater photogrammetry
KW - bathymetry
KW - point cloud classification
KW - feature detection
KW - benthic habitat mapping
KW - structure from motion (SfM)
KW - Geodia sponges
UR - https://www.scopus.com/pages/publications/85120856840
U2 - 10.1016/j.ifacol.2021.10.123
DO - 10.1016/j.ifacol.2021.10.123
M3 - Journal Article
SN - 2405-8963
VL - 54
SP - 402
EP - 409
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 16
T2 - 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2021
Y2 - 22 September 2021 through 24 September 2021
ER -