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图像识别是激光雷达技术应用的基础,为了提高激光雷达图像的识别准确性,提出一种数据挖掘的激光雷达图像识别方法。首先采用小波变换对激光雷达图像进行去噪处理,并提取特征向量,然后采用数据挖掘技术-深度层次网络根据特征建立激光雷达图像识别模型,最后进行激光雷达图像识别仿真实验。结果表明,本文方法可以提取激光雷达图像有效特征,可以得了较好的激光雷达图像识别结果。
Image recognition is the basis of the application of laser radar technology. In order to improve the recognition accuracy of laser radar image, a data mining method of laser radar image recognition is proposed. Firstly, the wavelet transform was used to denoise the LIDAR image and extract the eigenvectors. Then, a data mining technique was used to establish the LIDAR image recognition model based on the features. Finally, the LIDAR image recognition simulation experiment was carried out. The results show that this method can extract the effective features of Lidar images and get good LIDAR image recognition results.