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A decision-level-based synergetic classification method has been proposed to conduct land-cover classification for long-wave infrared (LWIR) and high-resolution visible (VIS) images in this paper. The problem of synergic classification is challenging, since we aim for classification map at the spatial resolution of the VIS image under different imaging modes. The proposed method consists of two stages,...
It has great significance to analyze the kinematics reliability of the manipulator, which can reflect the motion performance comprehensively. In paper, kinematics reliability of manipulator is discussed, and the mathematical description is derived when the manipulator is kinematics reliable. Taking elasticity factors into account, a multi-level model for the pose (position and posture) accuracy of...
In medical image processing, interactive image segmentation is an important part, because it can obtain accurate segment results with less human effort compared with manual scribing. We proposed an improved algorithm of maximal similarity based region merging, compared with the algorithm proposed in [3], our algorithm use SLIC superpixels segmentation to obtain presegmented regions, using SLIC superpixles,...
Classification is one of the most important applications in the field of remote sensing. How to improve the accuracy of classification is the critical topic that has long obsessed the researchers. In this paper, a fusion method based on a synergic use of hyperspectral data and Polarimetric SAR (PolSAR) data is presented. This method consists of two main parts, feature-level fusion and decision-level...
In this paper, we develop a sophisticated algorithm which has been used in our frequency estimation system of frequency-hopping(FH) signal. By combining the adaptive Pisarenko's Harmonic Deposition(PHD) with the modified least-square-lattice(LSL) algorithm and using a proper initial tap setting, we can see that the convergence rate of this algorithm has been further increased and convergent property...
Based on plant growth simulation algorithm (PHAGES), we propose a bionics algorithm for solving facility location problems. We compare the calculating results of PGSA with genetic algorithm (GA) for distribution center location problem, and the result approves PGSA is better than GA on accuracy. Further more, selecting 50 customers randomly, we solve Weber location problem with different facility...
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