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Hyperspectral images (HSIs) have evident advantages in image understanding due to enormous spectral bands, and rich spatial information. Hundreds of spectral bands, however, actually play different roles in contributing to the class-specific classification. Then, treating each band equally may lead to the underuse or overuse of them. To address this issue, this paper introduces class-specific band...
This paper proposes an image classification accuracy prediction based unsupervised band selection method for hyper spectral image classification. The key of this method is the prediction of overall classification accuracy for each spectral band with no ground truth or training samples. Under the hypothesis of Gaussian Mixture Model (GMM), we build the explicit expression between the overall accuracy...
The design processes and methods of PHM system based on HMM have been investigated. HMM has some advantage in terms of dealing with small sample size and high discerning accuracy. The rationality of sensors set which is based on the hidden Markov model has been evaluated from quantitative point of view. Then the evaluating method of different sensor sets based on HMM has been put forward. At last,...
A new measure for objective speech quality evaluation based on the improved generalized congruence neural network (GCNN/OSQE) is proposed, which needs less training time and has better performance. Compared with radial basis function neural network for objective speech quality evaluation measure (RBFNN/OSQE), besides owning all the merits of RBFNN/OSQE, GCNN/OSQE has many more merits: higher correlation,...
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