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The multi-view point clouds mosaic is an important technology in ladar data preprocessing, and it is also an open problem in 3D information processing. In the paper, a projective distribution entropy based point clouds mosaic algorithm is proposed. First, a unique coordinate system is used to estimate the space transformation between the multi-view point clouds, and to perform the coarse mosaic. Second,...
A projective point matching algorithm based on modified particle swarm optimization is presented. In the paper, the point matching problem turns into an optimization with two series of parameters, projective transform parameters and correspondent mapping parameters. Firstly, a modified particle swarm optimization (PSO) is introduced and a new rule searching for correspondences, closer point matching...
A novel velocity compensation algorithm is proposed. By extracting all potential scatters of two range profiles as two point patterns, the algorithm matches the point patterns by means of graph matching method. The velocity is estimated by the distance of correspondent points. The simulation experiments on range profiles with varying SNR, false scatters, and clutter aiguilles show the robustness of...
In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method(FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm...
The velocity of moving target is an important factor affecting the performance of stepped frequency radar. In order to solve the problem, a novel velocity compensation algorithm is proposed. By extracting all potential scatters of two range profiles as two point patterns, the algorithm matches the point patterns by means of geometrical inference matching method. The velocity is estimated by the distance...
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