Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine

Acoustic backscatter data are widely applied to study the distribution characteristics of seabed sediments. However, the ghosting and mosaic errors in backscatter images lead to interference information being introduced into the feature extraction process, which is conducted with a convolutional neu...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Ping Zhou, Gang Chen, Mingwei Wang, Jifa Chen, Yizhe Li
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-11-01
主題:	sediment classification acoustic backscatter image stacked denoising auto encoder extreme learning machine Parzen window particle swarm optimization
オンライン･アクセス:	https://www.mdpi.com/2072-4292/12/22/3762