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This paper develops a novel method to address the structural noise in samples for image classification. Recently, regression-related classification methods have shown promising results when facing the pixelwise noise. However, they become weak in coping with the structural noise due to ignoring of relationships between pixels of noise image. Meanwhile, most of them need to implement the iterative...
Craters are one of the most significant features of the lunar surface and have been researched widely because they offer us the relative age of the surface unit as well as crucial geological information. Generally, early studies of craters are based on the result of manual extraction from lunar images which requires a great deal of man power and specific knowledge and skills. With the development...
The existence and characteristics of low dimensional embedded manifold of the short-time Fourier spectrum of metal target echo signal are explored using manifold learning algorithm, Laplacian eigenmaps, aiming at the disadvantages of feature extraction and selection of the traditional methods in passive millimeter-wave (MMW) metal target recognizing process. Target classification is performed through...
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