PolSAR Ship Detection Method Based on Multiple Polarimetric Scattering Mechanisms
WEN Wei①② CAO Xuefei③ ZHANG Xuefeng①② CHEN Bo①② WANG Yinghua①② LIU Hongwei①②
①(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) ②(Collaborative Innovation Center of Information Sensing and Understanding at Xidian University, Xi’an 710071, China) ③(School of Cyber and Information Security, Xidian University, Xi’an 710071, China)
Considering the shortcoming of detection method based on polarimetric contrast enhanced with single polarimetric scattering mechanism, a PolSAR detection method based on multiple polarimetric mechanisms called Dirichlet Process mixture of Latent Variable SVM (DPLVSVM) is proposed. By assembling a set of local polarimetric detectors that based on single polarimetric scattering mechanism, a global multiple polarimetric scattering mechanisms detector is obtained. With a fully Bayes treatment, DPLVSVM learns the clustering and the local detectors jointly. Taking the advantage of Bayes nonparametric, DPLVSVM handles the model selection problem flexibly. Further, in order to reduce the redundancy of polarimetric feature and improve the model generalization, a model with feature selection, Sparsity-Promoting Dirichlet Process mixture of Latent Variable SVM (SPDPLVSVM), is proposed. Thanks to the conjugate property, the parameters in both of models can be inferred efficiently via the Gibbs sampler. Finally, the proposed models on RADARSAR-2 dataset is implemented to validate their effectiveness.
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