Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0415005(2021)

Ship Target Detection in Optical Remote Sensing Images Based on Spatial and Frequency Features

Jingyuan Li1, Xiaorun Li1、*, and Liaoying Zhao2
Author Affiliations
  • 1College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
  • 2Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
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    Figures & Tables(9)
    Regional difference measurement. (a) Local; (b) global
    Spatial salient feature map
    Experimental effects of different algorithms. (a) Original image; (b) original CovSal algorithm; (c) improved algorithm
    Experimental results
    P-R curve
    Experimental result under K parameter
    Experimental result under z parameter
    Experimental result under P parameter
    • Table 1. Detection results of different algorithms

      View table

      Table 1. Detection results of different algorithms

      AlgorithmNtsNdsNdfPcPftime/s
      CovSal6031280.5170.46715.50
      PQFTProposed algorithm60604152960.6830.8670.1500.1000.721.26
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    Jingyuan Li, Xiaorun Li, Liaoying Zhao. Ship Target Detection in Optical Remote Sensing Images Based on Spatial and Frequency Features[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0415005

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    Paper Information

    Category: Machine Vision

    Received: Jun. 19, 2020

    Accepted: Aug. 11, 2020

    Published Online: Feb. 24, 2021

    The Author Email: Li Xiaorun (lxr@zju.edu.cn)

    DOI:10.3788/LOP202158.0415005

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