利用机场周围大范围噪声训练的卷积神经网络进行飞机模型识别

IF 0.6 Q4 ACOUSTICS Acoustical Science and Technology Pub Date : 2023-03-01 DOI:10.1250/ast.44.131

M. Morinaga, J. Mori, Ippei Yamamoto

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Aircraft model identification using convolutional neural network trained by those noises in a wide area around an airfield

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来源期刊

Acoustical Science and Technology ACOUSTICS-

CiteScore

1.60

自引率

14.30%

发文量

期刊介绍： Acoustical Science and Technology(AST) is a bimonthly open-access journal edited by the Acoustical Society of Japan and was established in 1980 as the Journal of Acoustical Society of Japan (E). The title of the journal was changed to the current title in 2001. AST publishes about 100 high-quality articles (including papers, technical reports, and acoustical letters) each year. The scope of the journal covers all fields of acoustics, both scientific and technological, including (but not limited to) the following research areas. Psychological and Physiological Acoustics Speech Ultrasonics Underwater Acoustics Noise and Vibration Electroacoustics Musical Acoustics Architectural Acoustics Sonochemistry Acoustic Imaging.

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