Semi-automated image analysis for the assessment of megafaunal densities at the Artic deep-sea observatory HAUSGARTEN

PLoS ONE

Volumn 7, Issue 6, 2012, Pages

  Schoening, Timm ^a   Bergmann, Melanie ^b   Ontrup, Jörg ^a   Taylor, James ^c   Dannheim, Jennifer ^b   Gutt, Julian ^b   Purser, Autun ^d   Nattkemper, Tim W ^a  

^a BIELEFELD UNIVERSITY   (Germany)

^b ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^c UNIVERSITY OF GLASGOW   (United Kingdom)

^d JACOBS UNIVERSITY BREMEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; BATHYCRINUS; DEEP SEA; DENSITY; ECOSYSTEM; ENVIRONMENTAL CHANGE; FAUNA; IMAGE ANALYSIS; INTELLIGENT SCREENING OF UNDERWATER IMAGE SEQUENCES; KOLGA HYALINA; MACHINE LEARNING; MEGAFAUNAL DENSITY; NONHUMAN; PREDICTIVE VALUE; SEA ANEMONE; SENSITIVITY ANALYSIS; SPECIES DIFFERENCE; SPONGE (PORIFERA);

ARCTIC REGIONS; AUTOMATION; BIODIVERSITY; OCEANS AND SEAS; REMOTE SENSING TECHNOLOGY;

ACTINIARIA; BATHYCRINUS; ELPIDIA; HOLOTHUROIDEA; KOLGA HYALINA; PIERIS RAPAE;

EID: 84861879396     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0038179     Document Type: Article

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