Statistics of SDH Target Decomposition Theorems in Radar Polarimetry

摘要：

The comparisons between different decompositions show that the SDH (sphere, deplane, helix) target decomposition gives the best overall performance with other automatic classification algorithms. In this paper, we emphasize that the different decompositions include the equal information while they decompose the information to different sub-scattering matrices indeed. The statistics of the SDH target decomposition theorems in radar polarimetry is given for the stochastic target fluctuation. Many classification algorithms almost ignore the important decomposed phases, therefore they make some useful information lost, which lead to the worse performance of classification. The results of this work are helpful to enhance the performance of classification.

作者: Liu Tao Huang Gao-ming Wang Xue-song Xiao Shun-ping

作者单位: School of Electronic Engineering,Naval University of Engineering,Wuhan,Hubei,430033,Peoples Republi School of Electronic Science and Engineering,National University of Defense Technology,Changsha,Huna

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1178-1183

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）