Polarized features, which come from the surface of vegetation leaves in the process of reflectance, scattering and transmission of electromagnetic radiation, can be considered as the valuable information source in remote sensing information. The multi-angle earth observation can obtain more detailed and reliable 3-D spatial structure parameters of earth target, which makes the quantitative remote sensing possible. Multi-angle polarized hyperspectrum of vegetation leaves becomes new way for quantitative remote sensing detection. In this study, an orthogonal and two level test containing three factors was designed on the basis of analyzing the characteristics of multi-angle polarized spectrum of vegetation leaves. Analysis of data variance shows that polarized angle, incidence viewing azimuth, the chlorophyll and their interaction effects all have impacts on the polarized reflectance of leaves. The influences of polarized angle, incidence viewing azimuth and their interaction are particularly significant. Hence, not only some single factors but also their interaction effects should be considered in the future studies of vegetation leaves polarized reflectance.