3D models created from ROV videos and their corresponding subtransect dimensions


Autoria(s): Fillinger, Laura; Funke, Tobias
Cobertura

MEDIAN LATITUDE: -60.331084 * MEDIAN LONGITUDE: -65.417100 * SOUTH-BOUND LATITUDE: -64.915000 * WEST-BOUND LONGITUDE: -74.936215 * NORTH-BOUND LATITUDE: -51.169000 * EAST-BOUND LONGITUDE: -60.651000 * DATE/TIME START: 2007-01-22T10:23:24 * DATE/TIME END: 2012-02-29T14:38:02

Data(s)

11/12/2013

Resumo

Underwater video transects have become a common tool for quantitative analysis of the seafloor. However a major difficulty remains in the accurate determination of the area surveyed as underwater navigation can be unreliable and image scaling does not always compensate for distortions due to perspective and topography. Depending on the camera set-up and available instruments, different methods of surface measurement are applied, which make it difficult to compare data obtained by different vehicles. 3-D modelling of the seafloor based on 2-D video data and a reference scale can be used to compute subtransect dimensions. Focussing on the length of the subtransect, the data obtained from 3-D models created with the software PhotoModeler Scanner are compared with those determined from underwater acoustic positioning (ultra short baseline, USBL) and bottom tracking (Doppler velocity log, DVL). 3-D model building and scaling was successfully conducted on all three tested set-ups and the distortion of the reference scales due to substrate roughness was identified as the main source of imprecision. Acoustic positioning was generally inaccurate and bottom tracking unreliable on rough terrain. Subtransect lengths assessed with PhotoModeler were on average 20% longer than those derived from acoustic positioning due to the higher spatial resolution and the inclusion of slope. On a high relief wall bottom tracking and 3-D modelling yielded similar results. At present, 3-D modelling is the most powerful, albeit the most time-consuming, method for accurate determination of video subtransect dimensions.

Formato

application/zip, 3 datasets

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.803844

doi:10.1594/PANGAEA.803844

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Fillinger, Laura; Funke, Tobias (2013): A new 3-D modelling method to extract subtransect dimensions from underwater videos. Ocean Science, 9(2), 461-476, doi:10.5194/os-9-461-2013

Palavras-Chave #3D point cloud file as 3Ddxf; AWI_BPP; Bentho-Pelagic Processes @ AWI; Date/Time; DATE/TIME; Date/time end; Date/time start; Distance to substrate, mean; Distance to substrate, standard deviation; Dist subs mean; Dist subs mean sta dev; Doppler velocity log (DVL); DVL error; Echosounder; Error, relative; Error r; GIF animation file; Length; Length of transect; Linear subtransect length from 3D model; Missing ping; PhotoModeler (version 2012.0.0.586); PhotoModeler project files, zipped; Projected subtransect length from 3D model; Scaling error of subtransect lenght; Scaling from laser points (reference scale 20 cm); Scaling from laser points (reference scale 5 cm); Ship time; Subtransect; Subtransect length from DVL distance travelled; Subtransect length from USBL navigation; Subtransect width, mean; Subtrans w mean; Ultra Short Baseline (USBL); Uniform resource locator/link to file; Uniform resource locator/link to movie; URL file; URL movie; Video time
Tipo

Dataset