Deep learning model for seabed sediment classification based on fuzzy ranking feature optimization
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Title
Deep learning model for seabed sediment classification based on fuzzy ranking feature optimization
Authors
Keywords
Seabed sediment classification, Multibeam echo-sounding system, Feature selection, Deep belief network, Supervised classification
Journal
MARINE GEOLOGY
Volume 432, Issue -, Pages 106390
Publisher
Elsevier BV
Online
2020-12-04
DOI
10.1016/j.margeo.2020.106390
References
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- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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- (2016) Markus Diesing et al. ICES JOURNAL OF MARINE SCIENCE
- Towards Quantitative Spatial Models of Seabed Sediment Composition
- (2015) David Stephens et al. PLoS One
- Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches
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- (2012) Vanessa Lucieer et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Evaluation of Four Supervised Learning Methods for Benthic Habitat Mapping Using Backscatter from Multi-Beam Sonar
- (2012) Rozaimi Hasan et al. Remote Sensing
- Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques
- (2011) Craig J. Brown et al. ESTUARINE COASTAL AND SHELF SCIENCE
- Predictive modelling of seabed sediment parameters using multibeam acoustic data: a case study on the Carnarvon Shelf, Western Australia
- (2011) Zhi Huang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement
- (2011) D F Wulsin et al. Journal of Neural Engineering
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- (2010) Zhi Huang et al. CONTINENTAL SHELF RESEARCH
- Comparison of automated classification techniques for predicting benthic biological communities using hydroacoustics and video observations
- (2010) D. Ierodiaconou et al. CONTINENTAL SHELF RESEARCH
- Detection of deep water benthic macroalgae using image-based classification techniques on multibeam backscatter at Cashes Ledge, Gulf of Maine, USA
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- Prediction of benthic biotopes on a Norwegian offshore bank using a combination of multivariate analysis and GIS classification
- (2009) P. Buhl-Mortensen et al. ICES JOURNAL OF MARINE SCIENCE
- Textural analyses of multibeam sonar imagery from Stanton Banks, Northern Ireland continental shelf
- (2008) Ph. Blondel et al. APPLIED ACOUSTICS
- Neural network classification of multibeam backscatter and bathymetry data from Stanton Bank (Area IV)
- (2008) Ivor Marsh et al. APPLIED ACOUSTICS
- A Bayesian approach to seafloor classification using multi-beam echo-sounder backscatter data
- (2008) Dick G. Simons et al. APPLIED ACOUSTICS
- Developments in the application of multibeam sonar backscatter for seafloor habitat mapping
- (2008) Craig J. Brown et al. APPLIED ACOUSTICS
- Coincident swath acoustic backscatter and bathymetry for the interpretation of shallow-water sediment composition and processes
- (2008) BARBARA GLYNN et al. JOURNAL OF THE GEOLOGICAL SOCIETY
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- (2008) Jianwei Qin et al. Journal of Food Measurement and Characterization
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