Research in the Area of Remote Sensing Reported from University of Shanghai for Science and Technology (Fusion of a Static and Dynamic Convolutional Neural Network for Multiview 3D Point Cloud Classification)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on remote sensing. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Three-dimensional (3D) point cloud classification methods based on deep learning have good classification performance; however, they adapt poorly to diverse datasets and their classification accuracy must be improved. Therefore, FSDCNet, a neural network model based on the fusion of static and dynamic convolution, is proposed and applied for multiview 3D point cloud classification in this paper.”