Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defence Technol. (NUDT), Changsha, China
Abstract :
By analyzing the backscattering difference between moving targets and stationary clutter contained in the interferogram, a constant false alarm rate (CFAR) detecting method based on a joint metric of synthetic aperture radar (SAR) interferogram´s magnitude and phase (IMP) for ground moving targets has been proposed in this paper. First, utilizing the exclusive mapping relationship between interferometric phase and the module of corresponding vector, and combining interferometric magnitude, a new joint metric, called IMP metric, has been constructed. Second, under the frame of multiplicative model, based on the complex Wishart-distribution, the IMP metric´s statistical model, simply denoted as S0 distribution, has been derived. Meanwhile, the parametric estimators of the S0 distribution have also been presented based on the Mellin transform. Finally, the CFAR threshold of ground moving target detection using the S0 distribution has been given analytically. The experiments performed on measured dual-SAR images not only show the effectiveness of the IMP metric´s statistical models and the parametric estimators, but also prove the good performance of the proposed CFAR detecting method.
Keywords :
clutter; geophysical signal processing; object detection; radar interferometry; radar signal processing; remote sensing by radar; statistical distributions; synthetic aperture radar; CFAR detection; IMP metric statistical model; S0 distribution; SAR interferogram magnitude; SAR interferogram phase; backscattering difference; complex Wishart distribution; constant false alarm rate; ground moving target detection; ground moving targets; interferometric phase; multiplicative model; stationary clutter; synthetic aperture radar; Clutter; Covariance matrix; Joints; Measurement; Noise; Speckle; Transforms; Constant false alarm rate (CFAR) detection; interferogram; magnitude; phase; statistical distribution;