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

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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Bibliographic Details
Main Authors: Ping Zhou, Gang Chen, Mingwei Wang, Jifa Chen, Yizhe Li
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
sediment classification
acoustic backscatter image
stacked denoising auto encoder
extreme learning machine
Parzen window
particle swarm optimization
Online Access:https://www.mdpi.com/2072-4292/12/22/3762

Internet

https://www.mdpi.com/2072-4292/12/22/3762

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