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Hyperspectral imaging for underwater object detection

Zhixin Wang (School of Information Science & Engineering and Provincial Key Laboratory of Laser Technology and Application, Shandong University, Qingdao, China)
Peng Xu (School of Information Science and Engineering, Shandong University, Qingdao, China)
Bohan Liu (School of Information Science and Engineering, Shandong University, Qingdao, China)
Yankun Cao (School of Information Science and Engineering, Shandong University, Qingdao, China)
Zhi Liu (School of Information Science and Engineering, Shandong University, Qingdao, China)
Zhaojun Liu (School of Information Science and Engineering, Shandong University, Qingdao, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 5 April 2021

Issue publication date: 17 May 2021

289

Abstract

Purpose

This paper aims to demonstrate the principle and practical applications of hyperspectral object detection, carry out the problem we now face and the possible solution. Also some challenges in this field are discussed.

Design/methodology/approach

First, the paper summarized the current research status of the hyperspectral techniques. Then, the paper demonstrated the development of underwater hyperspectral techniques from three major aspects, which are UHI preprocess, unmixing and applications. Finally, the paper presents a conclusion of applications of hyperspectral imaging and future research directions.

Findings

Various methods and scenarios for underwater object detection with hyperspectral imaging are compared, which include preprocessing, unmixing and classification. A summary is made to demonstrate the application scope and results of different methods, which may play an important role in the application of underwater hyperspectral object detection in the future.

Originality/value

This paper introduced several methods of hyperspectral image process, give out the conclusion of the advantages and disadvantages of each method, then demonstrated the challenges we face and the possible way to deal with them.

Keywords

Acknowledgements

This work was supported by the National Key Research and Development Program of China under Grant 2018YFC0831000. Contributions: Zhixin Wang and Peng Xu contributed equally to this work and they are the co-first authors.

Citation

Wang, Z., Xu, P., Liu, B., Cao, Y., Liu, Z. and Liu, Z. (2021), "Hyperspectral imaging for underwater object detection", Sensor Review, Vol. 41 No. 2, pp. 176-191. https://doi.org/10.1108/SR-07-2020-0165

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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