• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0415005 (2021)
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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    DOI: 10.3788/LOP202158.0415005 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Regional difference measurement. (a) Local; (b) global
    Fig. 1. Regional difference measurement. (a) Local; (b) global
    Spatial salient feature map
    Fig. 2. Spatial salient feature map
    Experimental effects of different algorithms. (a) Original image; (b) original CovSal algorithm; (c) improved algorithm
    Fig. 3. Experimental effects of different algorithms. (a) Original image; (b) original CovSal algorithm; (c) improved algorithm
    Experimental results
    Fig. 4. Experimental results
    P-R curve
    Fig. 5. P-R curve
    Experimental result under K parameter
    Fig. 6. Experimental result under K parameter
    Experimental result under z parameter
    Fig. 7. Experimental result under z parameter
    Experimental result under P parameter
    Fig. 8. Experimental result under P parameter
    AlgorithmNtsNdsNdfPcPftime/s
    CovSal6031280.5170.46715.50
    PQFTProposed algorithm60604152960.6830.8670.1500.1000.721.26
    Table 1. Detection results of different algorithms
    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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