Electronics Optics & Control, Volume. 21, Issue 11, 79(2014)

An Algorithm for Ship Detection in Optical Remote Sensing Images with Cloud Interference

XU Cheng-bin... ZHOU Wei, CONG Yu and GUAN Jian |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less

    According to problem of high false alarm rate in ship detection produced by clouds in optical remote sensing image,a detection algorithm based on serial-parallel and multi-feature fusion is proposed.First,the segmentation of ships and clouds is realized by Gaussian-gray-threshold,and the regions of binary image are marked.Then,the serial-parallel and multi-feature fusion algorithm is constructed by the geometric morphological and edge-energy characteristics,including center deviation degrees,length-width ratio,area changing ratio,sinuosity and degree of filling.False alarms caused by clouds are effectively eliminated though the comprehensive judgment of region of interesting (ROI),thus the problem of high false alarming rate is solved.The effectiveness of the algorithm is verified by the experiment results with multiple optical remote sensing satellite images of SPOT4.

    Tools

    Get Citation

    Copy Citation Text

    XU Cheng-bin, ZHOU Wei, CONG Yu, GUAN Jian. An Algorithm for Ship Detection in Optical Remote Sensing Images with Cloud Interference[J]. Electronics Optics & Control, 2014, 21(11): 79

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 6, 2013

    Accepted: --

    Published Online: Dec. 8, 2014

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2014.11.016

    Topics