CAJ | 학술논문

从单极化合成孔径雷达(SAR)贝叶斯非局部均值算法出发，推导了极化相干矩阵在复 Wishart分布下的块相似性度量函数，给出了无先验知识下的极化 SAR 贝叶斯非局部均值模型，并采用积分图实现了该算法的快速计算。最后，通过机载合成孔径雷达实测旧金山地区的极化 SAR数据进行了验证。实验结果表明，文中方法能够有效抑制相干斑的同时，保持了极化特征，并大幅提升了运算效率。
종단겁화합성공경뢰체(SAR)패협사비국부균치산법출발，추도료겁화상간구진재복 Wishart분포하적괴상사성도량함수，급출료무선험지식하적겁화 SAR 패협사비국부균치모형，병채용적분도실현료해산법적쾌속계산。최후，통과궤재합성공경뢰체실측구금산지구적겁화 SAR수거진행료험증。실험결과표명，문중방법능구유효억제상간반적동시，보지료겁화특정，병대폭제승료운산효솔。
Based on the Bayesian non-local means of the single polarization SAR,block similarity measurement of the polarimetric coherence matrix is derived by combining with the polarimetric coherence matrix adhering to complex Wishart distribution.The polarimetric SAR Bayesian non-local means model is given without prior knowledge.Then its fast algorithm is realized using the integral image.Finally,we verify the proposed algorithm with a full polarimetric image from AIRSAR to San Francisco district.Experimental results from real Polarimetric SAR data show that the proposed algorithm not only despeckes effectively but also preserves polarimetric information well.Besides,computing efficiency is improved greatly.