Skip to Main content Skip to Navigation
New interface
Conference papers

Ship Identification Based on Ship Blade Noise

Abstract : In this paper, we propose a new method about ship identification, which is based on paddle noise for classification and recognition. Blade noise is the feature that is used to identify ships, blade noise is collected by digital hydrophone, then the signal is converted to spectrum. We extract features based on the difference of the pixel in the picture. What’s more, the softmax classification function is used to training blade noise samples by combining with CDBN technology. The maximal output is the sample that satisfies the minimum cost function. The results of our experiment show that the method can be applied for ships identification by combining CDBN, spectrum and softmax functions, the classification recognition rate increases with the increase of the convolution kernel.
Document type :
Conference papers
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, June 22, 2018 - 10:43:35 AM
Last modification on : Friday, June 22, 2018 - 10:51:31 AM
Long-term archiving on: : Monday, September 24, 2018 - 7:13:43 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Haitao Qi, Zhijing Xu. Ship Identification Based on Ship Blade Noise. 2nd International Conference on Intelligence Science (ICIS), Oct 2017, Shanghai, China. pp.426-434, ⟨10.1007/978-3-319-68121-4_46⟩. ⟨hal-01820917⟩



Record views


Files downloads