Multi-feature fusion of convolutional neural networks for Fine-Grained ship classification-Reference-Cited by-同舟云学术

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Multi-feature fusion of convolutional neural networks for Fine-Grained ship classification

Published:2019-07-09 Issue:1 Volume:37 Page:125-135
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Huang Sizhe¹²,Xu Huosheng²,Xia Xuezhi²,Yang Fan³,Zou Fuhao³

Affiliation:

1. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

2. Wuhan Digital Engineering Research Institute, Wuhan, China

3. College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference37 articles.

1. A complete processing chain for ship detection using optical satellite imagery;Corbane;International Journal of Remote Sensing,2010

2. Pattern recognition for ship based on Bayesian networks;Wang;International Conference on Fuzzy Systems and Knowledge Discovery,2007

3. Ship detection and recognition in high-resolution satellite images;Antelo;Geoscience and Remote Sensing Symposium,2009

4. Ship recognition based on improved forwards-backwards algorithm;Chen;International Conference on Fuzzy Systems and Knowledge Discovery,2009

5. Ship detection in images obtained from the unmanned aerial vehicle (uav);Dolgopolov;Indian Journal of Science & Technology,2017

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