• Infrared and Laser Engineering
  • Vol. 50, Issue 5, 20200309 (2021)
Zhichao Liu1、2 and Baida Qu1、*
Author Affiliations
  • 1School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
  • 2School of Internet of Things Engineering, Wuxi Taihu University, Wuxi 214064, China
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    DOI: 10.3788/IRLA20200309 Cite this Article
    Zhichao Liu, Baida Qu. Application of complex bidimensional empirical mode decomposition in SAR target recognition[J]. Infrared and Laser Engineering, 2021, 50(5): 20200309 Copy Citation Text show less
    Illustration of decomposition of SAR images via BEMD
    Fig. 1. Illustration of decomposition of SAR images via BEMD
    SAR target recognition method based on feature extraction by C-BEMD
    Fig. 2. SAR target recognition method based on feature extraction by C-BEMD
    Illustration of MSTAR targets
    Fig. 3. Illustration of MSTAR targets
    Recognition results of each class by the proposed method under SOC
    Fig. 4. Recognition results of each class by the proposed method under SOC
    Results under pitch angle variances
    Fig. 5. Results under pitch angle variances
    Results under noise corruption
    Fig. 6. Results under noise corruption
    ClassTraining set (17°)Test sample set (15°)
    Configuration (SN)Scale of samplesConfiguration (SN)Scale of samples
    BMP295632339563195
    BTR70233196
    T72132232132196
    812195
    S7191
    T62299273
    BRDM2298274
    BTR60256195
    ZSU23/4299274
    D7299274
    ZIL131299274
    2S1299274
    Table 1. Description of SOC
    ClassTraining set (17°)Test sample set (15°)
    Configuration (SN)Scale of samplesConfiguration (SN)Scale of samples
    BMP295632339566196
    C21196
    BTR70233196
    T72132232812195
    S7191
    Table 2. Description of configruation variance
    ClassTraining setTest sample set
    Pitch angle/(°)Scale of samplesPitch angle/(°)Scale of samples
    2S11729930288
    45303
    BDRM21729830287
    45303
    ZSU23/41729930288
    45303
    Table 3. Description of pitch angle variance
    Method typeAverage recognition rate
    Proposed method99.34%
    NMF98.26%
    Mono98.74%
    BEMD99.04%
    CNN99.08%
    Table 4. Results under SOC
    Method typeAverage recognition rate
    Proposed method99.12%
    NMF97.26%
    Mono96.36%
    BEMD98.27%
    CNN98.68%
    Table 5. Results under configuration variance
    Zhichao Liu, Baida Qu. Application of complex bidimensional empirical mode decomposition in SAR target recognition[J]. Infrared and Laser Engineering, 2021, 50(5): 20200309
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