A hierarchical learning framework for seafloor scene classification
NOPR - NISCAIR Online Periodicals Repository
View Archive InfoField | Value | |
Title |
A hierarchical learning framework for seafloor scene classification
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Creator |
Chen, Genlang
Lai, Chengang Huang, Miaoqing Song, Guanghui |
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Subject |
Scene classification
Hierarchical learning Sparse coding Seafloor scene |
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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. |
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Date |
2017-06-14T08:23:17Z
2017-06-14T08:23:17Z 2017-07 |
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Type |
Article
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Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://nopr.niscair.res.in/handle/123456789/42245 |
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Language |
en_US
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Rights |
CC Attribution-Noncommercial-No Derivative Works 2.5 India
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Publisher |
NISCAIR-CSIR, India
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Source |
IJMS Vol.46(07) [July 2017]
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