Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint [基于体散射约束的极化SAR相干变化检测方法]

作者：Ji G.; Liang X.; Dong Y.^*; Li Y.

来源：JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40(10): 2461-2469.

DOI：10.11999/JEIT180035

• Coherent Change Detection (CCD)
• EM algorithm
• Polarimetric coherence information
• Polarimetric Synthetic Aperture Radar (SAR)
• Volume scattering

Coherent Change Detection (CCD) detects change areas in the scene using its decorrelation, yet vegetation areas with volume scattering and low signal-noise ratio areas in the scene also appear as low coherence, which causes interference to change areas to be detected. A polarimetric SAR CCD method is proposed. Firstly, the polarimetric coherence between two SAR images before and after changing is employed to set up weighted trace coherence statistics. Secondly, the polarimetric coherence between channels of each SAR image is employed to set up volume scattering constraint by establishing GEV mixture distribution model and solving parameters of each part using improved EM algorithm. Lastly, constraint of scattering power change is combined to set up the final polarimetric CCD test statistics. Using this method, the interference could be eliminated without influence of detect performance. The method is validated by two L-band full-polarimetric SAR images before and after changing. Results and index parameters demonstrate the correctness and validity of the proposed method.

• 单位
  中国科学院大学