Extraction and Application of Polarimetric Characteristic Parameters Based on Polarimetric Decomposition
WANG Qing1, ZENG Qi-ming1, LIAO Jing-juan2
1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China; 2. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Abstract：Based on the polarization decomposition, the authors obtained a set of characteristic parameters to characterize the surface features, and formed some indices by combing these characteristic parameters to extract vegetation growing information such as radar vegetation indexes. These characteristic parameters have the function of reflecting the backscattering information and indirectly obtaining such information as vegetation growing, density and distribution areas. A scene of Radarsat-2 full polarimetric SAR data covering Poyang Lake region was chosen for this experiment and the sample data which included the biomass and vegetation density information were collected in the field at the same time. On the basis of an analysis of vegetation characteristics in this test region, the characteristic parameters were compared with each other and analyzed for their physical meaning. The radar vegetation index and field measurements of biomass sample parameters were statistically correlated. The experimental results show that the four characteristic parameters described in this paper give the same overall trend on the random scattering of vegetation, but different indexes have different indications with the increasing vegetation density, of which the most accurate index is the radar vegetation index, which has the maximum dynamic range. The radar vegetation index has a high linear correlation with the biomass of wetland vegetation, so that it can be used to quantitatively infer the vegetation covering density and the biomass information.
王庆, 曾琪明, 廖静娟. 基于极化分解的极化特征参数提取与应用[J]. 国土资源遥感, 2012, 24(3): 103-110.
WANG Qing, ZENG Qi-ming, LIAO Jing-juan. Extraction and Application of Polarimetric Characteristic Parameters Based on Polarimetric Decomposition. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 103-110.
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2012, Vol. 24 
