Enhanced detection of 3D individual trees in forested areas using airborne full-waveform LiDAR data by combining normalized cuts with spatial density clustering

16 citations as recorded by crossref.

1. Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review P. Surový & K. Kuželka 10.3390/f10030273
2. Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest D. Jaskierniak et al. 10.3390/rs70607298
3. Mean Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data W. Xiao et al. 10.3390/rs11111263
4. Imputation of Individual Longleaf Pine (Pinus palustrisMill.) Tree Attributes from Field and LiDAR Data C. Silva et al. 10.1080/07038992.2016.1196582
5. A Hybrid Semantic Point Cloud Classification-Segmentation Framework Based on Geometric Features and Semantic Rules M. Weinmann et al. 10.1007/s41064-017-0020-5
6. Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest N. Amiri et al. 10.3390/rs11222614
7. Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery P. Krzystek et al. 10.3390/rs12040661
8. Research on the improvement of single tree segmentation algorithm based on airborne LiDAR point cloud Q. Chen et al. 10.1515/geo-2020-0266
9. Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests N. Amiri et al. 10.1016/j.isprsjprs.2018.05.006
10. Effect of fuel spatial resolution on predictive wildfire models R. Taneja et al. 10.1071/WF20192
11. CanopyShotNoise– An individual-based tree canopy modelling framework for projecting remote-sensing data and ecological sensitivity analysis A. Pommerening et al. 10.1080/01431161.2021.1944695
12. Road object detection for HD map: Full-element survey, analysis and perspectives Z. Luo et al. 10.1016/j.isprsjprs.2023.01.009
13. An Individual Tree Segmentation Method From Mobile Mapping Point Clouds Based on Improved 3-D Morphological Analysis W. Wang et al. 10.1109/JSTARS.2023.3243283
14. Important LiDAR metrics for discriminating forest tree species in Central Europe Y. Shi et al. 10.1016/j.isprsjprs.2018.02.002
15. A Hierarchical Region-Merging Algorithm for 3-D Segmentation of Individual Trees Using UAV-LiDAR Point Clouds Y. Hao et al. 10.1109/TGRS.2021.3121419
16. A Classification-Segmentation Framework for the Detection of Individual Trees in Dense MMS Point Cloud Data Acquired in Urban Areas M. Weinmann et al. 10.3390/rs9030277