Title :
Modified Three-Component Decomposition Method for Polarimetric SAR Data
Author :
Zhihao Jiao ; Jian Yang ; Chunmao Yeh ; Jianshe Song
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
In this letter, a modified three-component model-based decomposition method is proposed to solve the problem of instability present in the Freeman decomposition method. We incorporate the similarity parameter and introduce a new constraint that describes the relationship between the powers of scattering components. The proposed method minimizes a continuous objective function under a set of constraints, which results in the stability of the decomposition method. Furthermore, a fast algorithm for solving the optimization problem is developed to accelerate computation. We demonstrate the stability of the proposed decomposition method by using the E-SAR polarimetric data acquired over the Oberpfaffenhofen area.
Keywords :
geophysical image processing; matrix decomposition; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; E-SAR polarimetric data; Freeman decomposition method instability; Oberpfaffenhofen area; continuous objective function; fast algorithm; optimization problem; polarimetric SAR data; scattering component; similarity parameter; three component decomposition method; Model-based polarimetric decomposition; radar polarimetry; similarity parameter; stable decomposition; synthetic aperture radar;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2252876