LAND COVER CLASSIFICATION FROM FULL-WAVEFORM LIDAR DATA BASED ON SUPPORT VECTOR MACHINES

8 citations as recorded by crossref.

1. Island feature classification for single-wavelength airborne lidar bathymetry based on full-waveform parameters X. Ji et al.
2. One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm Z. Ao et al.
3. A Systematic Review on Advancements in Remote Sensing for Assessing and Monitoring Land Use and Land Cover Changes Impacts on Surface Water Resources in Semi-Arid Tropical Environments M. Mashala et al.
4. Object-based strategy for generating high-resolution four-dimensional thermal surface models of buildings based on integration of visible and thermal unmanned aerial vehicle imagery A. Fallah et al.
5. FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning T. Shinohara et al.
6. A Fast Cross-Correlation Combined with Interpolation Algorithms for the LiDAR Working in the High Background Noise T. Nguyen et al.
7. Classification of Laser Footprint Based on Random Forest in Mountainous Area Using GLAS Full-Waveform Features X. Liu et al.
8. Full-Waveform Classification and Segmentation-Based Signal Detection of Single-Wavelength Bathymetric LiDAR X. Ji et al.