基于人工智能的大规模激光图像分类研究

Research on large scale laser image classification based on Artificial Intelligence

传统激光图像分类研究主要针对小规模数据，而当前激光图像以海量、大规模形式存在，对分类速度和分类效率提出了更高的要求，结合大规模激光图像的特点，设计了一种基于人工智能的大规模激光图像分类方法。首先收集大规模激光图像，并提取激光图像的特征，然后采用人工智能技术-人工鱼群算法对激光图像特征进行筛选，最后设计了大规模激光图像的分类器，并采用多种类型的激光图像进行了验证性测试，测试结果表明本文方法的激光图像的分类正确率超过95％，激光图像分类时间平均低于6ms，十分适用于大规模激光图像的在线分类，且大规模激光图像综合分类性能要优于当前其它分类方法，实际应用价值更高。

The traditional laser image classification mainly for small scale data, and the current laser image to massive, large -scale form, put forward higher requirements on the classification speed and classification efficiency, combined with the characteristics of large scale laser image, design a large - scale laser image classification method based on artificial intelligence. The first collection of large - scale laser image and feature extraction of laser image, and then use artificial intelligence technology, the artificial fish swarm algorithm for laser image feature selection, the final design of the large - scale laser image classifier, and the use of laser image of various types of verification test, laser image classification accuracy of more than 95%, the laser image classification time the average of less than 2.45ms, is very suitable for online classification of large - scale laser image, and the classification of large - scale laser image has better performance than the other classification methods, the actual application of higher value.