Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach

24 September 2021

Papers citing "Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach"

5 / 5 papers shown

Title
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models Meida Chen Andrew Feng Kyle McCullough P. Prasad R. McAlinden L. Soibelman 3DPC 31 6 0 21 Aug 2020
Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain Meida Chen Andrew Feng Kyle McCullough P. Prasad R. McAlinden L. Soibelman M. Enloe 35 10 0 09 Aug 2020
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation Angela Dai Matthias Nießner 3DPC 3DV 44 323 0 28 Mar 2018
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 310 2,077 0 07 Jun 2016
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 464 15,861 0 12 Nov 2013