A new multi-decision based on Bayesian decision tree algorithm for ship recognition

Abstract Ship recognition is a key topic for intelligent shipping in canal. A new multi-decision algorithm based on Bayesian decision tree is proposed. The algorithm combine three Convolutional Neural Networks module - VGG, VGG19 and ResNet to get a better classify result. A quantization method is a...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1802; no. 3; p. 32090
Main Authors Xia, Qi, Wang, Yu, Zhou, Jian, Pei, Shengqing, Geng, Zhiqiang, Xiao, Bende, Guo, Zhihan, Shao, Aijun, Yang, Hongbo
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2021
Subjects
Algorithms
Artificial neural networks
Bayesian analysis
Decision trees
Physics
Recognition
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Summary:Abstract Ship recognition is a key topic for intelligent shipping in canal. A new multi-decision algorithm based on Bayesian decision tree is proposed. The algorithm combine three Convolutional Neural Networks module - VGG, VGG19 and ResNet to get a better classify result. A quantization method is adopt to quantize the output of these network. A new method based on decision tree construct algorithm is proposed to improve the accurate of decision tree. In experiment, implement a various compared algorithms to prove the algorithm has better performance.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1802/3/032090