Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches-Reference-Cited by-同舟云学术

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Mapping seabed sediments: Comparison of manual, geostatistical, object-based image analysis and machine learning approaches

Published:2014-08 Issue: Volume:84 Page:107-119
ISSN:0278-4343
Container-title:Continental Shelf Research
language:en
Short-container-title:Continental Shelf Research

Author:

Diesing Markus,Green Sophie L.,Stephens David,Lark R. Murray,Stewart Heather A.,Dove Dayton

Funder

Cefas Research and Development

ongoing regional mapping programme MAREMAP

British Geological Survey, the National Oceanography Centre Southampton and the Scottish Association for Marine Science

Publisher

Elsevier BV

Subject

Geology,Aquatic Science,Oceanography

Reference75 articles.

1. Introduction to Machine Learning;Alpaydin,2010

2. Acoustic seabed classification: current practice and future directions;Anderson;ICES J. Mar. Sci.,2008

3. Large-scale bedforms, sediment distribution and sand mobility in the eastern North Sea off the Danish west coast;Anthony;Mar. Geol.,2002

4. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogramm. Remote Sens.,2010

5. Textural analyses of multibeam sonar imagery from Stanton Banks, Northern Ireland continental shelf;Blondel;Appl. Acoust.,2009

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