A seabed sediment classification model based on PSO-AlexNet

Shaohua Jin; Ning Zhang; Gang Bian; Yang Cui

doi:10.1117/12.2643450

9 October 2022 A seabed sediment classification model based on PSO-AlexNet

Shaohua Jin, Ning Zhang, Gang Bian, Yang Cui

Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122461J (2022) https://doi.org/10.1117/12.2643450
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China

Abstract

Extracting feature parameters is the most important part of the current acoustic sediment classification methods. Aiming at the problems of multiple selectivity and instability in the sediment classification after feature parameters extracted from the sonar image, it was proposed that inputting sonar images directly into the improved convolutional neural network(CNN) for seabed sediment classification without extracting image features. This paper compared the classification results of 12 types of sediment classification models based on feature extraction and four classical CNN models. It showed that the classification accuracy of the former ranges from 39% to 92.6%, which was greatly influenced by the types of feature parameters and classifiers; the classification accuracy of the latter ranged from 84.2% to 89.6%, among which AlexNet presents the best effects in CNN. Then the particle swarm optimization(PSO) algorithm was used to optimize the five training parameters in the AlexNet model. The same training set and test set were used for comparative experiments. And the results showed that the PSO-AlexNet model can obtain 93.8% of the seabed sediment classification accuracy. And the classification effects are better than the sediment classification model based on feature extraction.

Citation Download Citation

Shaohua Jin, Ning Zhang, Gang Bian, and Yang Cui "A seabed sediment classification model based on PSO-AlexNet", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122461J (9 October 2022); https://doi.org/10.1117/12.2643450

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KEYWORDS

Image classification

Particles

Feature extraction

Neural networks

Particle swarm optimization

Acoustics

Optimization (mathematics)

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