Assessment of machine learning algorithms for automatic benthic cover monitoring and mapping using towed underwater video camera and high-resolution satellite images

Remote Sensing

Volumn 10, Issue 5, 2018, Pages

  Mohamed, Hassan ^a   Nadaoka, Kazuo ^b   Nakamura, Takashi ^b  

^a Benha University ^*  (Egypt)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Benthic cover monitoring; Hybrid classifiers; Machine learning algorithms; Towed underwater video camera

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIODIVERSITY; ECOSYSTEMS; GLOBAL POSITIONING SYSTEM; LEARNING SYSTEMS; MAPPING; MARINE APPLICATIONS; MARINE BIOLOGY; NEAREST NEIGHBOR SEARCH; SATELLITE IMAGERY; SUPPORT VECTOR MACHINES; VIDEO CAMERAS;

BENTHIC COVER; BENTHIC HABITAT MONITORING; GLOBAL NAVIGATION SATELLITE SYSTEMS; HIGH RESOLUTION SATELLITE IMAGERY; HIGH RESOLUTION SATELLITE IMAGES; HYBRID CLASSIFIER; TEMPORAL AND SPATIAL SCALE; UNDERWATER VIDEO CAMERA;

LEARNING ALGORITHMS;

EID: 85047506431     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10050773     Document Type: Article

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