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Open AccessArticle

An Adaptive Denoising and Detection Approach for Underwater Sonar Image

by 1,*, 1, 2,3,4, 2,3,4 and 5
1
College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
2
Acoustic science and Technology laboratory, Harbin Engineering University, Harbin 150001, China
3
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
4
Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Harbin 150001, China
5
Institute of Acoustics, Chinese Academy of Science, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(4), 396; https://doi.org/10.3390/rs11040396
Received: 14 January 2019 / Revised: 9 February 2019 / Accepted: 12 February 2019 / Published: 15 February 2019
(This article belongs to the Special Issue Radar and Sonar Imaging and Processing)
An adaptive approach is proposed to denoise and detect the underwater sonar image in this paper. Firstly, to improve the denoising performance of non-local spatial information in the underwater sonar image, an adaptive non-local spatial information denoising method based on the golden ratio is proposed. Then, a new adaptive cultural algorithm (NACA) is proposed to accurately and quickly complete the underwater sonar image detection in this paper. Concretely, NACA has two improvements. In the first place, to obtain better initial clustering centres, an adaptive initialization algorithm based on data field (AIA-DF) is proposed in this paper. Secondly, in the belief space of NACA, a new update strategy is adopted to update cultural individuals in terms of the quantum-inspired shuffled frog leaping algorithm (QSFLA). The experimental results show that the proposed denoising method in this paper can effectively remove relatively large and small filtering degree parameters and improve the denoising performance to some extent. Compared with other comparison algorithms, the proposed NACA can converge to the global optimal solution within small epochs and accurately complete the object detection, having better effectiveness and adaptability. View Full-Text
Keywords: underwater sonar image; adaptive denoising; detection; adaptive initialization underwater sonar image; adaptive denoising; detection; adaptive initialization
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MDPI and ACS Style

Wang, X.; Li, Q.; Yin, J.; Han, X.; Hao, W. An Adaptive Denoising and Detection Approach for Underwater Sonar Image. Remote Sens. 2019, 11, 396.

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