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Hyperspectral imaging for underwater object detection
Wang, Z.; Xu, P.; Liu, B.; Cao, Y.; Liu, Z.; Liu, Z. (2021). Hyperspectral imaging for underwater object detection. Sensor Review 41(2): 176-191. https://dx.doi.org/10.1108/sr-07-2020-0165
In: Sensor Review: Bingley. ISSN 0260-2288; e-ISSN 1758-6828, more
Peer reviewed article  

Available in  Authors 

Keyword
    Image processing
Author keywords
    Machine intelligence

Authors  Top 
  • Wang, Z.
  • Xu, P.
  • Liu, B.
  • Cao, Y.
  • Liu, Z.
  • Liu, Z.

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.

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