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Target detection (TD) is one of the fundamental tasks in hyperspectral imagery (HSI) processing. Sparse representation (SR) as a novel tool is powerful in accurate detection of target of interest. In this paper, SR approach within disconnected spatial support is proposed for effective TD in HSI. For conventional sparse representation, an HSI pixel is represented as a sparse vector whose non-zero entries...
A range of applications call for a mobile client to continuously monitor others in close proximity. Past research on such problems has covered two extremes: It has offered totally centralized solutions, where a server takes care of all queries, and totally distributed solutions, in which there is no central authority at all. Unfortunately, none of these two solutions scales to intensive moving object...
In this paper, a method based on Bayes theory is presented aiming at the problems of small sample maintainability verification for the shrapnel emitter. And Posterior Probability Ratio Test of maintainability index verification in the logarithmic normal distribution is discussed in detail. By analyzing the test data of the shrapnel emitter, it is proved that the method is effective and reasonable...
In order to improve the objectiveness of the evaluation of the self-propelled artilley battle power, the principal component analysis method translate multivariate variable to less and independent variable, what include original and mostly information and reduce artificial influence. Based based on Principal Component Analysis method in this text, author evaluate war power of six kinds of self-propelled...
The MaxBRNN problem finds a region such that setting up a new service site within this region would guarantee the maximum number of customers by proximity. This problem assumes that each customer only uses the service provided by his/her nearest service site. However, in reality, a customer tends to go to his/her k nearest service sites. To handle this, MaxBRNN can be extended to the MaxBRkNN problem...
This paper deals with a multiobjective hybrid flowshop scheduling problem with sequence dependent setup times. Two different objectives are considered to be optimized at once. Our first contribution is to propose a special encoding for the studied problem. Then, our second contribution is that a new metaheuristic based on the Lorenz dominance relationship (L-NSGA) is developed here to solve the studied...
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