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In this paper, we propose a novel image representation for scene classification. Firstly, we model multiple order statistics of image patches via Gaussian Mixture Model(GMM) in a Bayesian framework. Secondly, we combine the information of mean and covariance of the GMM and represent it as a mean-covariance supervector through a new distance metric.(More)
This paper aims at the rescheduling of observing spacecraft imaging plan under uncertainty using ant colony algorithm. First, this paper provides a brief analysis about the uncertainties in spacecraft observation scheduling. And then, this paper establishes the mathematical model and manages to solve the rescheduling problem by ant colony algorithm.(More)
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