Freeman decomposition and homo-polarization rate-based polarized synthetic aperture radar (SAR) image classification method
A classification method and co-polarized technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of arbitrary division of regions, deterioration of classifier performance, and high computational complexity, achieving clear edges and reducing Computational complexity, achieving simple and easy effects
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[0025] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0026] Step 1, perform Freeman decomposition on the input data to obtain the scattering power matrix P s , P d , P v , where P s represents the surface scattering power matrix, P d Denotes the dihedral scattered power matrix, P v represents the volume-scattered power matrix.
[0027] For Freeman’s decomposition, see Freeman A and Durden S.A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing 1998, 36(3): 963-973. The specific steps are as follows:
[0028] 1a) Each pixel of the read-in data is a 3×3 polarization covariance matrix C containing 9 elements;
[0029] C = | S HH | ...
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