A NOVEL DENOISING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUD BASED ON EMPIRICAL MODE DECOMPOSITION

5 citations as recorded by crossref.

1. A Novel Multidimensional Statistics Denoising Algorithm Based on Gaussian Mixture Model for Photon-Counting LiDAR Data S. Chen et al.
2. Point-DCA-Enhanced Deep Learning Network for Photon Signal Classification in UAV-Based Photon-Counting LiDAR Bathymetry H. Li et al.
3. Low-complexity adaptive radius outlier removal filter based on PCA for lidar point cloud denoising Y. Duan et al.
4. A Maximum Entropy Based Outlier Removal for Airborne LiDAR Point Clouds G. Jiang et al.
5. Airborne LiDAR: state-of-the-art of system design, technology and application X. Li et al.