Name
Title | ||
|---|---|---|
The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types? |
Abstract | ||
|---|---|---|
•Comparison of different types of UAV-borne imagery in a specific area is provided.•Additional inputs (e.g. nDSM) increase an accuracy of classification models.•RGB imagery cannot substitute multispectral data for plants classification.•Fine-scale thermal imagery is helpful in the classification of plant species. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jag.2018.05.003 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Low altitude aerial survey,Classification accuracy,Fine spatial resolution,Normalized digital surface model (nDSM),Geographic object-based image analysis (GEOBIA),Multispectral and thermal imagery fusion,Image processing,Structure from motion (SfM) | Vegetation,Aerial survey,Ground sample distance,Remote sensing,Multispectral image,Altitude,RGB color model,Land cover,Image resolution,Geography | Journal |
Volume | ISSN | Citations |
71 | 0303-2434 | 3 |
PageRank | References | Authors |
0.43 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Komárek | 1 | 3 | 0.43 |
| Tomás Kloucek | 2 | 3 | 0.43 |
| Jirí Prosek | 3 | 3 | 0.77 |