Quick density peak value clustering based polarimetric SAR image classification method
A density peak and classification method technology, applied in the field of target recognition, can solve the problems of poor classifier performance, inability to distinguish effectively, and poor maintenance of polarization scattering characteristics, etc., to achieve clear edges and good regional consistency Effect
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[0031] Reference figure 1 , The implementation steps of the present invention are as follows:
[0032] Step 1. Filter the polarized SAR image to be classified to remove speckle noise, and obtain a filtered polarized SAR image.
[0033] The filtering of polarized SAR images usually adopts the existing refined polarized LEE filtering method, and the size of the filtering window is 7×7.
[0034] Step 2: Perform Yamaguchi decomposition on the coherence matrix T of each pixel in the filtered polarized SAR image to obtain the volume scattering power P of each pixel v 、Dihedral scattering power P d , Surface scattering power P s And the helical scattering component P h .
[0035] Yamaguchi decomposition is a polarization target decomposition method. Different ground objects have different scattering characteristics. This method decomposes the coherence matrix of each pixel into a linear combination of multiple scattering components according to the scattering characteristics of different grou...
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