Polarized SAT (synthetic aperture radar) image classification method based on improved affinity propagation clustering
A technology of neighbor propagation and classification method, which is applied in the field of image processing, can solve problems such as unbearable calculation and storage, arbitrary division of regions, and inability to effectively distinguish, and achieve the effect of reducing calculation and storage
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[0032] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0033] Step 1, filter the polarimetric SAR image to be classified.
[0034] Select a polarimetric SAR image to be classified, and filter the polarimetric SAR image to be classified to remove speckle noise. The filtering methods that can be used include polarimetric whitening filtering, Boxcar filtering, refined polarimetric LEE filtering and unsupervised classification based Filtering method, etc., the filtering method adopted in the present invention is refined polarization LEE filtering method, and the size of the filtering window is 7×7.
[0035] Step 2, decompose the coherence matrix T of each pixel in the filtered polarimetric SAR image into four components, and obtain the volume scattering power P of each pixel v , dihedral scattered power P d , surface scattering power P s and the helical scattering power P h .
[0036] (2a) Read in each pixel of the filtered im...
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