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引用次数: 20
摘要
通常的偏振散斑滤波器通过光学方式将偏振通道合并为单个图像(Novak和Burl),或者仅恢复辐射信息(Lee等人),即在p / d的情况下,r / d中的3 Ihh, I, Ihv强度。因此,滤波后的数据不能恢复相位差和极化通道相关系数。这意味着与初始数据相比信息丢失,初始数据在倒数情况下包含5个独立实参数加上1个绝对相位,用于1次散射矩阵格式,对于多次数据包含9个独立参数。本文开发了一种极化最小均方误差(MMSE)滤波器和极化最大后验(MAP)滤波器。对于每个像素,在滤波过程的输出中,可以得到一个复杂的“无斑点”散射矩阵和1个look的偏振通道之间的3个局部相关系数,或者是多look图像的协方差矩阵的9个实参数。
The usual polarimetric speckle filters ophally combine the polarization channels into a single image (Novak and Burl) or only restore the radiometric information (Lee et al.), i.e. the 3 Ihh, I, Ihv intensities in the r e c i p r d case. So the phase differences and the polarization channel correlation coefficients are not restored in the fdtered data. This implies a loss of information compared to the initial data, which contain in the reciprocal case 5 independent real parameters plus 1 absolute phase for 1 look scattering matrix format and 9 independent parameters for multi-look data. In this paper we develop a polarimetric minimum mean square error (MMSE) filter and a polarimetric maximum a posteriori (MAP) filter. For each pixel, one obtains on output of the filtering process either a complex "unspeckled" scattering matrix and 3 local correlation coefficients between the polarization channels for 1 look, or the 9 real parameters of the covariance matrix for multi-look images.