Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0228006(2022)

Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT

Yanchao Miao1,2, Jinghong Liu1、*, Chenglong Liu1,2, and Lina Wang3
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun , Jilin 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100039, China
  • 3College of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun , Jilin 130022, China
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    Figures & Tables(9)
    Flow chart of our algorithm
    Scale space maps of different methods. (a) Gaussian scale; (b) non-linear diffusion scale
    Schematic diagram of scale space blocking strategy
    Optical images and SAR images. (a) First group of experiment; (b) second group of experiment; (c) third group of experiment
    Registration results of the first set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm
    Registration results of the second set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm
    Registration results of the third set of experiment. (a) SAR-SIFT algorithm; (b) PSO-SIFT algorithm; (c) OS-SIFT algorithm; (d) our algorithm; (e) chessboard diagram of the registration result of our algorithm
    • Table 1. Prior information of the experimental data

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      Table 1. Prior information of the experimental data

      Image typeSensorResolution /(m·pixel-1Image size /(pixel×pixel)
      First groupOptical imagegoogle earth sensor31041×1075
      SAR imageairborne SAR sensor31044×1078
      Second groupOptical imagegoogle earth sensor31019×801
      SAR imageairborne SAR sensor31021×811
      Third groupOptical imagegoogle earth sensor4.41093×1006
      SAR imageairborne SAR sensor51040×879
    • Table 2. Performance of different algorithms

      View table

      Table 2. Performance of different algorithms

      GroupingAlgorithmCMRRMSETime /s
      First groupSAR-SIFT***
      PSO-SIFT2×4/(1510+1030)2.09317.050
      OS-SIFT2×7/(1175+1033)1.493121.533
      ours2×10/(1035+1066)1.021822.139
      Second groupSAR-SIFT***
      PSO-SIFT2×4/(2407+1114)0.98217.528
      OS-SIFT2×4/(1072+1080)0.42529.833
      ours2×6/(1007+1015)0.28619.973
      Third groupSAR-SIFT***
      PSO-SIFT***
      OS-SIFT2×4/(1144+1132)0.996615.488
      ours2×8/(1116+1091)0.413517.308
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    Yanchao Miao, Jinghong Liu, Chenglong Liu, Lina Wang. Automatic Registration of Optical and SAR Images Based on Improved OS-SIFT[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0228006

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 26, 2021

    Accepted: Sep. 2, 2021

    Published Online: Dec. 29, 2021

    The Author Email: Jinghong Liu (liu1577@126.com)

    DOI:10.3788/LOP202259.0228006

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