On the SAR Image Classification by Rotation of the Covarience Matrix in the Four-component Scattering Power Decomposition
A modification is applied to the four-component scattering power decomposition based on covariance matrix.The concept of rotation is applied to covariance matrices and the effect of rotation on the four-component scattering power decomposition has been studied.With our approach,man-made structures can be distinguished from other areas more effectively.Our result shows that the rotation of the covariance matrix in the four-component scattering power decomposition contributes to better understanding and interpretation of POLSAR data.
Mitsunobu Sugimoto Kazuo Ouchi
Department of Computer Science,School of Electrical and Computer Engineering National Defense Academy,1-10-20 Hashirimizu,Yokosuka,Kanagawa 239-8686,Japan
国际会议
Progress in Electromagnetics Research Symposium 2011(2011年电磁学研究新进展学术研讨会)
苏州
英文
35-39
2011-09-01（万方平台首次上网日期，不代表论文的发表时间）