Laser & Optoelectronics Progress, Volume. 57, Issue 6, 062803(2020)

Fast Registration of Visible light and Synthetic Aperture Radar Images

Zhihua Xie1,2、**, Jinghong Liu1、*, Hui Sun1,2, and Jiaqi Peng3
Author Affiliations
  • 1Department of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3First Military Representative Office in Changchun, Changchun, Jilin 130033, China
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    Figures & Tables(10)
    Flow chart of registration method
    Image redundancy removing simulation diagram. (a) Simulated image; (b) selected rows and columns to be excluded; (c) image after specific sampling
    Key point detection. (a) Original visible image; (b) original SAR image; (c) visible image after removing redundancy; (d) SAR image after removing redundancy; (e) Harris detection result of figure (c); (f) Harris detection result of figure (d); (g) LoG detection result of figure (c); LoG detection result of figure (d)
    Diagram of point rebuilding. (a) Coordinates of pixels in de-redundant image; (b) pixel coordinates of reconstructed points in original image
    Image registration effect map of the first pair. (a) SIFT; (b) SIFT-M; (c) PSO-SIFT; (d) DR-SIFT
    Image registration effect map of the second pair. (a) SIFT; (b) SIFT-M; (c) PSO-SIFT; (d) DR-SIFT
    Image registration effect map of the third pair. (a) SIFT; (b) SIFT-M; (c) PSO-SIFT; (d) DR-SIFT
    • Table 1. Comparison of key points repetition rate between Harris and LoG

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      Table 1. Comparison of key points repetition rate between Harris and LoG

      Key point detection methodsLoGHarris
      Optical imageSAR imageOptical imageSAR image
      Number of key points692811677552
      Repetition rate of key points /%62.9778.27
    • Table 2. Knowledge of real multimodal image pairs

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      Table 2. Knowledge of real multimodal image pairs

      Image No.Image sourceSize /(pixel×pixel)Spatial resolution /mDateLocation
      1Airborne SAR580×500306/2017Suburban area
      Google Earth580×500307/2018
      2Airborne SAR660×510306/2017River area
      Google Earth660×510307/2018
      3Airborne SAR483×6560.511/2018Airport area
      Google Earth544×6950.507/2018
      4Airborne SAR450×410311/2018Suburban area
      Google Earth460×390307/2018
      5Airborne SAR460×4600.511/2018Rift valley
      Google Earth546×510107/2018
      6Airborne SAR440×400311/2018River area
      Google Earth443×354307/2018
      7Airborne SAR420×420112/2010Urban area
      Google Earth490×363109/2012
      8Airborne SAR550×480312/2010Urban area
      Google Earth550×480309/2012
      9Airborne SAR560×520312/2010Suburban area
      Google Earth560×520309/2012
      10Airborne SAR480×480306/2017Mountain area
      Google Earth480×480307/2018
    • Table 3. Comparison of registration parameters of three methods

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      Table 3. Comparison of registration parameters of three methods

      Image pair numberMethodN1N2CMR /%RMSERunning time /s
      1SIFT273.33
      SIFT-M835971.081.390253.62
      PSO-SIFT473574.461.280548.84
      DR-SIFT161381.250.673141.27
      2SIFT414.08
      SIFT-M1249979.831.602054.20
      PSO-SIFT1388662.311.694247.04
      DR-SIFT665887.871.032341.67
      3SIFT614.33
      SIFT-M15611974.841.591045.19
      PSO-SIFT634876.191.798229.97
      DR-SIFT292482.751.023028.61
      4SIFT332.50
      SIFT-M251768.000.808136.50
      PSO-SIFT271555.561.297026.04
      DR-SIFT241979.170.703321.38
      5SIFT604.38
      SIFT-M342161.760.942632.14
      PSO-SIFT453271.110.814317.09
      DR-SIFT191473.680.216020.87
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    Zhihua Xie, Jinghong Liu, Hui Sun, Jiaqi Peng. Fast Registration of Visible light and Synthetic Aperture Radar Images[J]. Laser & Optoelectronics Progress, 2020, 57(6): 062803

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 14, 2019

    Accepted: Aug. 28, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Zhihua Xie (xiezhihua17@mails.ucas.ac.cn), Jinghong Liu (liu1577@126.com)

    DOI:10.3788/LOP57.062803

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