Name
Title | ||
|---|---|---|
Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm |
Abstract | ||
|---|---|---|
•An effective approach for mangrove monitoring with UAV hyperspectral and LiDAR data.•LiDAR-derived CHM helps better recognition of spectrally similar mangrove species.•RoF outperforms RF and LMT for accurate mangrove species classification.•Understory mangroves benefit most from combining spectral and structural information. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jag.2021.102414 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Mangrove species classification,Hyperspectral imaging,Unmanned aerial vehicle (UAV),Light detection and ranging (LiDAR),Rotation forest (RoF) | Journal | 102 |
ISSN | Citations | PageRank |
1569-8432 | 1 | 0.38 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingjing Cao | 1 | 1 | 0.38 |
| Kai Liu | 2 | 1 | 0.38 |
| Li Zhuo | 3 | 1 | 0.38 |
| Lin Liu | 4 | 150 | 26.85 |
| Yuanhui Zhu | 5 | 1 | 0.38 |
| Liheng Peng | 6 | 1 | 0.38 |