LiDAR Data Classification Using Spatial Transformation and CNN
LiDAR Data Classification Using Spatial Transformation and CNN is a scholarly work, published in 2019 in ''IEEE Geoscience and Remote Sensing Letters''. The main subjects of the publication include length measurement, convolutional neural network, rectangle, lidar, data mining, artificial intelligence, identification, remote sensing, 3D scanning, transformation, pattern recognition, and computer science. The experimental results show that the proposed models provide competitive results compared to the state-of-the-art methods.