Extraction of visual texture features of seabed sediments using an SVDD approach-Reference-Cited by-同舟云学术

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Extraction of visual texture features of seabed sediments using an SVDD approach

Published:2017-09 Issue: Volume:142 Page:501-506
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Li Yan,Liu Shijie,Zhu Puqiang,Yu Jiancheng,Li Shuo

Funder

National Key Research and Development Program of China

KIMST

National Natural Science Foundation

State Key Laboratory of Robotics at Shenyang Institute of Automation

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference43 articles.

1. The next generation of unmanned marine vehicles-dedicated to the 50 anniversary of the human world record diving 10912m;Feng;Robot,2011

2. Correlation of sidescan backscatter with grain size distribution of surficial seabed sediments;Collier;Mar. Geol.,2005

3. Acoustic theory application in ultra short basedline system for tracking AUV;Ji;Mar. Geod.,2013

4. Multi-beam sonar application on autonomous underwater robot;Ji;Mar. Geod.,2015

5. A pulse-length correction to improve energy-based seabed classification in coastal areas;Rodríguez-Pérez;Cont. Shelf Res.,2014

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