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Clustering aided classification methods are based on the assumption that the learned clusters under the guidance of initial training data can somewhat characterize the underlying distribution of the data set. However, our experiments show that whether such assumption holds is based on both the separability of the considered data set and the size of the training data set. It is often violated on data...
In this paper, the remote sensing classification results of urban land of Jiading district of Shanghai, China in the years of 1995 and 2001 were employed as expatiated case. The theory of sampling with the integration of remote sensing technique and spatial overlaying analysis for monitoring urban land change has been investigated. The dynamic urban land sampling framework (DULSF) is first investigated,...
Complex motion makes consecutive frames experience dramatic change, and thus becomes a barrier to object-tracking. Three factors contribute to more complexity of motion: longer sampling period,an moving object with complex appearance and nonrestraint movement, occlusion, which causes mean shift algorithm losing its target due to too low a Bhattacharyya coefficient. To treat it, mean shift algorithm...
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