Deep CNN With Multi-Scale Rotation Invariance Features for Ship Classification

Deep CNN With Multi-Scale Rotation Invariance Features for Ship Classification

With the rapid development of target tracking technology, how to efficiently take advantage of useful information from optical images for ship classification becomes a challenging problem. In this paper, a novel deep learning framework fused with low-level features is proposed. Deep convolutional ne...

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Bibliographic Details
Main Authors: Qiaoqiao Shi, Wei Li, Fan Zhang, Wei Hu, XU Sun, Lianru Gao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Ship classification
convolutional neural network
feature learning
feature-level fusion
Online Access:https://ieeexplore.ieee.org/document/8405523/

Internet

https://ieeexplore.ieee.org/document/8405523/

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