DC ElementWertSprache
dc.contributor.authorNejad, Amin Mardani-
dc.contributor.authorLuhmann, Thomas-
dc.contributor.authorKersten, Thomas-
dc.contributor.authorDorschel, Boris-
dc.contributor.authorPurser, Autun-
dc.date.accessioned2022-07-29T15:11:11Z-
dc.date.available2022-07-29T15:11:11Z-
dc.date.issued2021-11-02-
dc.identifier.issn2405-8963en_US
dc.identifier.urihttps://repos.hcu-hamburg.de/handle/hcu/670-
dc.description.abstractThe 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.en
dc.language.isoenen_US
dc.publisherElsevier-
dc.relation.ispartofIFAC-PapersOnLineen_US
dc.subjectUnderwater photogrammetryen
dc.subjectBathymetryen
dc.subjectpoint cloud classificationen
dc.subjectfeature detectionen
dc.subjectbenthic habitat mappingen
dc.subjectstructure from motion (SfM)en
dc.subjectGeodia spongesen
dc.subject.ddc550: Geowissenschaften-
dc.titleAn Underwater Photogrammetric Application to Generate Micro-Bathymetry Data for Benthic Habitat Mapping and Analysis at Arctic Oceanen
dc.typeconferencePaperen_US
dc.relation.conference13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles CAMS 2021: Oldenburg, Germany, 22–24 September 2021en_US
dc.type.diniConferencePaper-
dc.type.driverconferenceObject-
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.type.casraiConference Paper-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:1373-repos-8707-
tuhh.oai.showtrueen_US
tuhh.publication.institutePhotogrammetrie und Laserscanningen_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
tuhh.container.issue16en_US
tuhh.container.volume54en_US
tuhh.container.startpage402en_US
tuhh.container.endpage409en_US
tuhh.type.rdmfalse-
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
item.grantfulltextopen-
item.creatorOrcidNejad, Amin Mardani-
item.creatorOrcidLuhmann, Thomas-
item.creatorOrcidKersten, Thomas-
item.creatorOrcidDorschel, Boris-
item.creatorOrcidPurser, Autun-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.creatorGNDNejad, Amin Mardani-
item.creatorGNDLuhmann, Thomas-
item.creatorGNDKersten, Thomas-
item.creatorGNDDorschel, Boris-
item.creatorGNDPurser, Autun-
item.openairetypeconferencePaper-
crisitem.author.deptPhotogrammetrie und Laserscanning-
crisitem.author.orcid0000-0001-8910-2887-
Enthalten in der SammlungPublikationen (mit Volltext)
Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat
1-s2.0-S2405896321015251-main.pdf1.74 MBAdobe PDFÖffnen/Anzeigen
Zur Kurzanzeige

Seitenansichten

226
checked on 28.12.2024

Download(s)

49
checked on 28.12.2024

Google ScholarTM

Prüfe

Export

Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons