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Aiming at solving the problem of low matching accuracy caused by different imaging mechanism of heterologous image, we propose a novel image registration algorithm based on effective sub-image extraction and bidirectional matching for surf feature points. The algorithm adopts a coarse-to-fine matching strategy. Firstly, we transform the edge image into frequency domain through fast Fourier transform,...
A data fusion approach based on eigenvalues and eigenvectors of relation matrix of multi-sensor is proposed. Features of relation matrix are extracted and the information of relation matrix is fully utilized by eigenvalues and eigenvectors of relation matrix. This approach overcomes the problem of influenced by expert experience in threshold settings by the optimal sensor group selected through fusion...
In order to mine the hidden knowledge, and solve the problem of ldquodata is superfluous but knowledge is sparerdquo, data mining is used widely. Data classification is an important task of data mining, which has been at the center of research interest in recent years. The research of this paper is on classification. Starting from fuzzy KNN classification method, based on the idea of cluster before...
Constrained principal component (CPC) analysis of stochastic process extracts the most representative components from a given constraint subspace. It is an effective means to incorporate external information into principal component analysis (PCA) and is appealing in a variety of application areas. This paper proposes a novel autoassociative network to find optimal CPC solutions and compares the proposed...
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