The dominant scattering volume, surface, and double-bounce, as retrieved from the hybrid or compact polarimetric Synthetic Aperture Radar (SAR) data of the lunar surface, are found to be intermingled. These dominant scattering can also lead to ambiguous interpretation of volume, surface, and double-bounce scattering due to uncertainty in the transmission of a perfectly circular Electromagnetic (EM) wave. Hence, classification criteria are proposed to identify volume, surface, and double-bounce dominant scattering. For this purpose, we have utilized the conformity coefficient (μ) parameter-based method for identifying these dominant scattering. Firstly, dominant pixels have been extracted using the dominant scattering equations. These equations are presented in this work based on experimental analysis. Further, proposed criteria have been developed using the mapping between the extracted pixels from the dominant scattering equations and conformity coefficient (μ). The performance of the proposed classification criteria is examined over 33 subsamples from MiniSAR data of Peary, Rozhdestvenskiy, and Hermite craters. Further, the comparison of the proposed criteria with other decomposition methods have been performed. The experimental results from these comparisons indicate that the proposed method can further strengthen the existing decomposition-based analysis. The applicability of the proposed criteria was tested using ANOVA and Tukey’s HSD test, which supports the proposed approach.

从月球表面的混合或紧凑极化合成孔径雷达（SAR）数据中检索到的主要散射体积，表面和双反射是混杂在一起的。由于完全圆形电磁（EM）波的传输存在不确定性，这些主要散射也会导致对体积，表面和双反弹散射的模棱两可的解释。因此，提出了分类标准以识别体积，表面和双反射主导散射。为此，我们利用了合格系数（μ）基于参数的方法来识别这些主要散射。首先，已经使用优势散射方程式提取了优势像素。这些方程是在实验分析的基础上提出的。此外，使用从主要散射方程中提取的像素与一致性系数（μ）。从Peary，Rozhdestvenskiy和Hermite陨石坑的MiniSAR数据中对33个子样本进行了检验，提出了建议分类标准的性能。此外，已将提议的标准与其他分解方法进行了比较。这些比较的实验结果表明，该方法可以进一步加强现有的基于分解的分析。使用ANOVA和Tukey的HSD测试测试了所建议标准的适用性，该测试支持了所建议的方法。