An acquisition, curation and management workflow for sustainable, terabyte-scale marine image analysis.

ABSTRACT: Optical imaging is a common technique in ocean research. Diving robots, towed cameras, drop-cameras and TV-guided sampling gear: all produce image data of the underwater environment. Technological advances like 4K cameras, autonomous robots, high-capacity batteries and LED lighting now allow systematic optical monitoring at large spatial scale and shorter time but with increased data volume and velocity. Volume and velocity are further increased by growing fleets and emerging swarms of autonomous vehicles creating big data sets in parallel. This generates a need for automated data processing to harvest maximum information. Systematic data analysis benefits from calibrated, geo-referenced data with clear metadata description, particularly for machine vision and machine learning. Hence, the

SUBMITTER: Schoening T 

PROVIDER: S-EPMC6111891 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature