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Acta Armamentarii ›› 2019, Vol. 40 ›› Issue (6): 1171-1178.doi: 10.3969/j.issn.1000-1093.2019.06.007

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Research on General Detection Method of Coastline and Sea-sky Line in FLIR Image

QIU Rongchao1, L Junwei1, GONG Jian1, XIU Bingnan1, MA Xinxing1, LIU Sitong2   

  1. (1. Naval Aviation University, Yantai 264001, Shandong, China;2. Special Service Department, Xi'an Flight Academy of Air Force, Xi'an 710300, Shaanxi, China)
  • Received:2018-08-29 Revised:2018-08-29 Online:2019-08-14

Abstract: The coastline and sea-sky line detection is a key technology in the forward looking infrared (FLIR) terminal guidance technology of anti-ship missile, which is always interfered by island, cloud, bright band, strip wave and so on. A general detection method for coastline and sea-sky line is proposed. An integral image is constructed for the original image, and the box filter is used to enhance the edge features of coastline and sea-sky line. The gradient saliency of the pixels in the rectangular region is counted to determine the potential area of the coastline and sea-sky line. The points with maximum saliency are extracted in each column of the potential area and are used to obtain the locations of coastline and sea-sky line by polynomial iterative fitting. The proposed method is verified and analyzed based on the actual FLIR images of sea scene. The results show that the proposed method can overcome the interference of island, cloud, bright band, and strip wave to detect the coastline and sea-sky line. The proposed method has good scene adaptability and real-time performance. Key

Key words: forwardlookinginfraredimage, coastline, sea-skyline, gradientsaliency, polynomialiterativefitting

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