Name
Title | ||
|---|---|---|
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. |
Abstract | ||
|---|---|---|
•Pixel and object-based features were fused for weed detection.•Random Forests was used as classifier for OBIA analysis.•Hough algorithm was used to detect maize row in orthomosaicked UAV imagery.•Cross validation was used to evaluate the performance of the Random Forests.•The accuracy of the weed map was evaluated by the random sampling windows. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jag.2017.12.012 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
UAVs,Inter- and intra-row weed detection,Feature fusion,OBIA,Random forests,Hyperparameter tuning,Feature evaluation | Weed,Ground sample distance,Remote sensing,Hough transform,Precision agriculture,Ground truth,Pixel,Random forest,Geography,Cross-validation | Journal |
Volume | ISSN | Citations |
67 | 0303-2434 | 10 |
PageRank | References | Authors |
0.75 | 16 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junfeng Gao | 1 | 117 | 12.83 |
| Wenzhi Liao | 2 | 403 | 31.63 |
| David Nuyttens | 3 | 11 | 2.53 |
| Peter Lootens | 4 | 10 | 2.10 |
| Jürgen Vangeyte | 5 | 15 | 3.99 |
| Aleksandra Pizurica | 6 | 1238 | 102.29 |
| Yong He | 7 | 44 | 15.57 |
| Jan G. Pieters | 8 | 15 | 1.46 |