Classification Method of Polarized SAR Image Based on Freeman Decomposition and Spectral Clustering
A classification method and spectral clustering technology, applied in the field of polarimetric SAR image classification based on Freeman decomposition and spectral clustering algorithm, can solve the problems that hinder the performance of the algorithm, the amount of calculation and storage is unbearable, and the stability of image segmentation is degraded, etc. question
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[0048] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0049] Step 1, filter the polarimetric SAR image to be classified.
[0050] Select a polarimetric SAR image to be classified, the size is R×Q, and filter the polarimetric SAR image to be classified to remove speckle noise. The filtering methods that can be used include polarization whitening filtering, Boxcar filtering, and refined polarization LEE filtering And the filtering method based on unsupervised classification, etc., the filtering method adopted in the present invention is the refined polarization LEE filtering method, and the size of the filtering window is 7×7.
[0051] Step 2: Perform Freeman decomposition on the coherence matrix T of each pixel in the filtered polarimetric SAR image to obtain the volume scattering power P of each pixel v , dihedral scattered power P d and surface scattered power P s .
[0052] (2a) Read in each pixel of the filtered image, ...
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