A New Compression and Storage Method for High-Resolution SSP Data Based-on Dictionary Learning

Author:

Yan KaizhuangORCID,Wang YongxianORCID,Xiao Wenbin

Abstract

The sound speed profile data of seawater provide an important basis for carrying out underwater acoustic modeling and analysis, sonar performance evaluation, and underwater acoustic assistant decision-making. The data volume of the high-resolution sound speed profile is vast, and the demand for data storage space is high, which severely limits the analysis and application of the high-resolution sound speed profile data in the field of marine acoustics. This paper uses the dictionary learning method to achieve sparse coding of the high-resolution sound speed profile and uses a compressed sparse row method to compress and store the sparse characteristics of the data matrix. The influence of related parameters on the compression rate and recovery data error is analyzed and discussed, as are different scenarios and the difference in compression processing methods. Through comparative experiments, the average error of the sound speed profile data compressed is less than 0.5 m/s, the maximum error is less than 3 m/s, and the data volume is about 10% to 15% of the original data volume. This method significantly reduces the storage capacity of high-resolution sound speed profile data and ensures the accuracy of the data, providing technical support for efficient and convenient access to high-resolution sound speed profiles.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference16 articles.

1. Dictionary Learning

2. Dictionary learning of sound speed profiles

3. Estimation of range‐dependent sound‐speed profile with dictionary learning method

4. Sparse Representation of Sound Speed Profiles Based on Dictionary Learning;Sijia;Proceedings of the 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics,2020

5. Compressive acoustic sound speed proile estimation in the Arabian Sea;Qianqian;J. Acoust. Soc. Am.,2020

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