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A hierarchical learning framework for seafloor scene classification

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Field Value
 
Title A hierarchical learning framework for seafloor scene classification
 
Creator Chen, Genlang
Lai, Chengang
Huang, Miaoqing
Song, Guanghui
 
Subject Scene classification
Hierarchical learning
Sparse coding
Seafloor scene
 
Description 1352-1357
Present study consists an experimental study of the framework for seafloor scene classification with AUV data. In this framework, the dictionary is dynamically learned with new features, which are extracted from marine images. Sparse representation is further fed into a Support Vector Machine for scene classification. Extensive experimental results on the AUV data of southeast coast of Tasmania have shown that the proposed framework provides a satisfying approach with respect to the seafloor scene classification.
 
Date 2017-06-14T08:23:17Z
2017-06-14T08:23:17Z
2017-07
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/42245
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.46(07) [July 2017]