Name
Title | ||
|---|---|---|
UAV for mapping shrubland vegetation: Does fusion of spectral and vertical information derived from a single sensor increase the classification accuracy? |
Abstract | ||
|---|---|---|
•Structure-from-motion increases accuracy of UAV multispectral data classification.•Overall accuracy at species/genera level was 88.2% using data from a single sensor.•Fusion reduced the dependency on the allocation of ground truth data. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jag.2018.10.009 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Fine spatial resolution,Species classification,Multispectral,Normalized digital surface model (nDSM),Structure from motion (SfM),Unmanned aerial systems,Tetracam Micro-MCA6 | Shrubland,Photogrammetry,Vegetation,Multispectral image,Shrub,Remote sensing,Data acquisition,Fusion,Geography,Image resolution | Journal |
Volume | ISSN | Citations |
75 | 0303-2434 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jirí Prosek | 1 | 3 | 0.77 |
| Petra Šímová | 2 | 11 | 2.13 |