Development of a machine learning technique for automatic analysis of seafloor image data: Case example, Pogonophora coverage at mud volcanoes

Computers and Geosciences

Volumn 39, Issue , 2012, Pages 120-128

  Ludtke A ^a   Jerosch, K ^b,c   Herzog, O ^a   Schluter M ^c  

^a UNIVERSITY OF BREMEN   (Germany)

^b BEDFORD INSTITUTE OF OCEANOGRAPHY   (Canada)

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

Author keywords

Automatic image analysis; H kon Mosby Mud Volcano; Image classification; Machine learning; Pogonophora recognition; Supervised learning

Indexed keywords

AUTOMATIC ANALYSIS; AUTOMATIC DETECTION; AUTOMATIC IMAGE ANALYSIS; AUTOMATIC RECOGNITION; CLASSIFICATION RATES; DATA SETS; HABITAT MAPPING; IMAGE DATA; LARGE IMAGES; MACHINE LEARNING TECHNIQUES; MOSAICKING TECHNIQUE; MUD VOLCANOES; POGONOPHORA; PRECISE ANALYSIS; RAW IMAGE DATA; SEA FLOOR; SEAFLOOR VIDEO; TEXTURAL IMAGES; TRAINING DATA; VIDEO DATA; VIDEO IMAGERY;

FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MARINE APPLICATIONS; REMOTELY OPERATED VEHICLES; SUPERVISED LEARNING;

VOLCANOES;

DATA SET; DIGITAL IMAGE; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGERY; MUD VOLCANO; SEAFLOOR MAPPING;

ARCTIC OCEAN; BARENTS SEA; HAKON MOSBY MUD VOLCANO;

EID: 84855532624     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2011.06.020     Document Type: Article

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