CAJ | 학술논문

在对极化 SAR 数据进行相干斑抑制过程中，保持其极化信息是首要考虑的问题，而对极化 SAR 数据各元素进行独立的滤波是不可取。依据极化SAR数据形式及噪声模型，该文将双边滤波推广至极化SAR数据处理，推导出一种新的相似性距离度量公式，所提方法可以直接对极化协方差矩阵C或极化相干矩阵T进行处理。该方法能够保持极化信息，有效地抑制相干斑，同时能够更好地保持点目标、纹理结构等，在处理大幅面的极化 SAR数据时简单、快速、有效。
재대겁화 SAR 수거진행상간반억제과정중，보지기겁화신식시수요고필적문제，이대겁화 SAR 수거각원소진행독립적려파시불가취。의거겁화SAR수거형식급조성모형，해문장쌍변려파추엄지겁화SAR수거처리，추도출일충신적상사성거리도량공식，소제방법가이직접대겁화협방차구진C혹겁화상간구진T진행처리。해방법능구보지겁화신식，유효지억제상간반，동시능구경호지보지점목표、문리결구등，재처리대폭면적겁화 SAR수거시간단、쾌속、유효。
The priority during speckle reduction in Polarimetric Synthetic Aperture Radar (Pol-SAR) data is to maintain the polarization information. For this reason, it is undesirable to separate each element of polarimetric SAR. Based on the multiplicative noise model and complex matrix, an effective distance similarity measure method is derived, which can process covariance matrix C or coherent matrix T directly. Experiments show that this method can effectively reduce speckle and maintain the polarization information, point targets, and texture structure. Moreover, it can handle large polarimetric SAR with simplicity and ease.