A Sparse Manifold Classification Method for Multi-scale Description Primitives of Polarized SAR Images
A classification method, multi-scale technology, applied in the field of image processing, which can solve problems such as poor model performance
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[0016] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.
[0017] The fusion of incoherent features and coherent features of traditional time-series polarimetric SAR images cannot fully combine features at the early stage of feature formation. The multi-scale description primitive provided by the present invention uses multiple polarization coherent decompositions to extract polarization information at the polarization scale. On the time scale, the random walk method is used to extract relevant information with similarity as the weight, and combined to form a multi-scale cube, which can integrate features well and lay...
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