Seafloor images and raw context data along AUV track SO239_115-1_AUV9 (Abyss_175) during SONNE cruise SO239

The raw images (available on request) have been captured using a Canon 8-15mm fisheye lens and therefore they have a wide field of view, which results in a dark image boundary as the lights did not illuminate the outer sectors well. The images in this dataset have then been undistorted to virtual images that an ideal perspective camera with only 90 degrees horizontal field of view would have seen from the same position. To achieve this, the color of each pixel in the ideal image is obtained by - computing the ray in space associated with this virtual pixel (using rectilinear un-projection) - p... Mehr ...

Verfasser: Greinert, Jens
Schoening, Timm
Köser, Kevin
Rothenbeck, Marcel
Dokumenttyp: Dataset
Erscheinungsdatum: 2017
Verlag/Hrsg.: PANGAEA
Schlagwörter: Acoustic Doppler Current Profiling (ADCP) / Autonomous underwater vehicle / AUV / AUV forward velocity / AUV starboard velocity / AUV vertical velocity / Belgian licence area / Chlorophyll a / Conductivity / CTD / SEA-BIRD SBE 49 / DATE/TIME / DEPTH / water / Digital camera / Canon EOS 6D / Fisheye lens / Distance / File format / File name / File size / Fluorometer / WET Labs / ECO FLNTU / Ground visibility (1=yes/0=no) / Heading / Image brightness / JPI Oceans - Ecological Aspects of Deep-Sea Mining / JPIO-MiningImpact / LATITUDE / LONGITUDE / Pitch angle / Roll angle / Salinity / SO239 / SO239_115-1 / SO239_115-1_AUV9 / Sonne_2 / Sound velocity in water / Temperature / Time / relative / Turbidity (Nephelometric turbidity unit) / Uniform resource locator/link to image
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26927632
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.pangaea.de/10.1594/PANGAEA.882063

The raw images (available on request) have been captured using a Canon 8-15mm fisheye lens and therefore they have a wide field of view, which results in a dark image boundary as the lights did not illuminate the outer sectors well. The images in this dataset have then been undistorted to virtual images that an ideal perspective camera with only 90 degrees horizontal field of view would have seen from the same position. To achieve this, the color of each pixel in the ideal image is obtained by - computing the ray in space associated with this virtual pixel (using rectilinear un-projection) - projecting this ray into the original fisheye image (using equidistant projection), yielding a sub-pixel position - interpolating the colors of the neighboring pixels Technically, the undistortion has been performed using the tool https://svn.geomar.de/dsm-general/trunk/src/BIAS/Tools/biasproject.cpp (at revision 418, and earlier, compatible revisions). Manual image annotation is available here: https://annotate.geomar.de/volumes/250