Laser & Optoelectronics Progress, Volume. 57, Issue 16, 160002(2020)

Sea-Sky Line Detection Methods: An Overview

Tianwei Feng1,2,3,4, Jinqing Liu1,2,3、*, Jinchao Xiao4, and Junfeng Xiong4
Author Affiliations
  • 1Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350007, China
  • 2Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou, Fujian 350007, China
  • 3College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian 350007, China
  • 4Shenyang Institute of Automation·Guangzhou·Chinese Academy of Sciences, Guangzhou, Guangdong 510000 China;
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    The sea-sky line is an important feature of sea and air background images, and its detection plays an important role in the division of sky and sea areas and target detection. However, sea clutter, clouds, strong reflection, and dynamic weather conditions in the complex sea and air background environment make it difficult to detect the sea-sky line. This paper aims to address the environmental adaptability problem of sea-sky line detection in a complex background. Three aspects were analyzed in detail: the characteristics of the original image obtained by the visual sensor and those of the sea-sky line in the image; interference factors and their suppression methods; existing methods of generating the sea-sky line. Furthermore, their advantages, disadvantages, and applicable scenarios were elaborated through comparative experiments, and the proposed morphological methods were experimentally compared. Finally, the future challenges and research directions of sea-sky line detection were discussed.

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    Tianwei Feng, Jinqing Liu, Jinchao Xiao, Junfeng Xiong. Sea-Sky Line Detection Methods: An Overview[J]. Laser & Optoelectronics Progress, 2020, 57(16): 160002

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    Paper Information

    Category: Reviews

    Received: Nov. 6, 2019

    Accepted: Jan. 9, 2020

    Published Online: Aug. 5, 2020

    The Author Email: Liu Jinqing (jqliu8208@fjnu.edu.cn)

    DOI:10.3788/LOP57.160002

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