Method and system for classifying vehicle-borne laser-point cloud targets
A vehicle-mounted laser and target classification technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as fast and effective recognition and classification, and achieve the effect of improving the degree of automation and strong robustness
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[0042] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.
[0043] First, explain some English abbreviations in this implementation mode:
[0044] RBM (Restricted Boltzmann Machine): Restricted Boltzmann machine, a probabilistic generative model consisting of a visible layer and a hidden layer. The entire network is a fully connected inter-layer, no-connected dichotomy within the layer. Structural undirected graph. ,
[0045] DBN (Deep Belief Network): Deep Belief Network is a generative model composed of multiple RBM stacks. By training the weights between its neurons, we can let the entire neural network generate training data according to the maximum probability.
[0046] DBSCAN (Density-Based Spatial Clustering of Applications with Noise): A noise-based density-based clustering method is...
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