Abstract | ||
---|---|---|
•Proposed a hybrid method to segment individual trees from airborne lidar data.•Proposed a local maxima index to select highly accurate local maxima.•Proposed a point based vertical profile method to detect understorey trees.•Proposed three constraints to reduce the misclassification of tree branches.•Estimated highly accurate tree heights and individual crown widths. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.compag.2019.104871 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Forest inventory,Airborne lidar,Tree segmentation,Canopy height models,Tree crown widths | Computer vision,Histogram,Market segmentation,Pattern recognition,Segmentation,Maxima and minima,Ground truth,Lidar,Artificial intelligence,Lidar data,Engineering,Point cloud | Journal |
Volume | ISSN | Citations |
163 | 0168-1699 | 1 |
PageRank | References | Authors |
0.41 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Liu | 1 | 169 | 50.09 |
Samsung Lim | 2 | 68 | 12.02 |
Xuesong Shen | 3 | 5 | 2.79 |
Marta Yebra | 4 | 14 | 4.93 |