• Infrared and Laser Engineering
  • Vol. 51, Issue 4, 20210282 (2022)
Li You
Author Affiliations
  • Chengdu Technological University, Chengdu 611730, China
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    DOI: 10.3788/IRLA20210282 Cite this Article
    Li You. Target azimuth estimation of synthetic aperture radar image based on block sparse Bayesian learning[J]. Infrared and Laser Engineering, 2022, 51(4): 20210282 Copy Citation Text show less
    SAR images of BMP2, T72 and BTR70 at different azimuths
    Fig. 1. SAR images of BMP2, T72 and BTR70 at different azimuths
    Basic procedure of the proposed algorithm
    Fig. 2. Basic procedure of the proposed algorithm
    Numbers of correctly estimation samples by the proposed algorithm at different estimation precisions
    Fig. 3. Numbers of correctly estimation samples by the proposed algorithm at different estimation precisions
    TypeDepression angle/(°)Target
    BMP2BTR70T72
    Training17233 (SN_1)232 (SN_2)233(SN_3)233 (SN_1)232 (SN_1)231 (SN_2)233 (SN_3)
    Test15195 (SN_1)196 (SN_2)19 6(SN_3)196 (SN_1)196 (SN_1)195 (SN_2)191 (SN_3)
    Table 1. Training and test samples of the three MSTAR targets
    Target classNumber of samplesNumber of errorsPercentage of correct samples
    BMP2 (SN_1)195199.49%
    BMP2 (SN_2)1960100%
    BMP2 (SN_3)196199.50%
    BTR70 (SN_1)196298.98%
    T72 (SN_1)196398.47%
    T72 (SN_2)195199.49%
    T72 (SN_3)1910100%
    Table 2. Azimuth estimation results of the test samples of the three MSTAR targets by the proposed method
    Number of samples<5°<10°MeanVariance
    BMP25875735852.011.85
    BTR701961921942.051.84
    T725825695782.161.77
    Total1365133413572.071.81
    Table 3. Results of the proposed method at different estimation precisions
    Method typeThreshold of error/(°)
    246810
    Proposed76%88%97%99%99%
    MER13%24%39%57%68%
    Dominant boundary55%82%93%97%99%
    Sparse representation64%80%93%98%99%
    Table 4. Correct estimation percentages of different methods at different estimation precisions
    Method typeAverage time consumption/ms
    Proposed10.5
    MER45.2
    Dominant boundary40.2
    Sparse representation12.1
    Table 5. Time consumption of different methods
    Li You. Target azimuth estimation of synthetic aperture radar image based on block sparse Bayesian learning[J]. Infrared and Laser Engineering, 2022, 51(4): 20210282
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