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Feature extraction is the key step of synthetic aperture radar (SAR) target configuration recognition. A statistical model embedding the locality preserving property is presented to extract the maximum amount of desired information from the data, which is of crucial help to recognition. The noise, or error, of the SAR image samples is described by a Gaussian mixture distribution, and the locality...
Cloud computing model can take advantage of the network resources, creating a powerful computing capacity to meet the real-time processing a large amount of spatial data. So this paper showed a cloud computing model based on a large amount of spatial data processing model. It used not only controller to implement the distribution of spatial data processing tasks but cloud computing power to achieve...
A DFOPDT model of nonlinear temperature system with time-delay is established. An algorithm is presented, which is an effective way to solve unknown parameters of the model by neural network. In the method, the network can soon converge through the iterative calculation in which the value of unknown parameters is predicted continuously. Meanwhile, it also solves to train a network with unknown output...
The nonlinear regression analysis (RA) is widely used in signal and image processing, but the ill-conditioning problem and the convergence property of classical nonlinear RAs depend on the initial parameter estimates in a great degree. The orthogonal array optimization (OAO) is one of the approaches to get the initial estimates that are near to the optimal values. We introduced the damping idea into...
The aim of outlier detection was to find out abnormal data patterns concealed in abundant data sets which were sparse and isolate. Mine disaster occurred much more frequently in our country, so it was urgent to take out an effective method to prevent mine disaster and guarantee miner's life and property of the company. In this paper, we presented a new method-AHHDOD, it could not only find out the...
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