Name
Title | ||
|---|---|---|
Dual polarised Entropy/alpha decomposition and coherence optimisation for improved forest height mapping |
Abstract | ||
|---|---|---|
In this paper we propose an approach implementing the dual polarised Entropy/alpha decomposition [1] and coherence optimisation [8] for improved forest mapping. We explore the dual polarised Entropy/alpha decomposition for better forest/non-forest discrimination and the multiple partial polarimetric coherence optimisation for subsequent forest canopy/height estimation. The integrated forest discrimination and coherence-forest height estimation for the task of producing forest extent, change and trend information are examined with in situ LiDAR data. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IGARSS.2011.6050096 | IGARSS |
Keywords | Field | DocType |
optimisation,forest discrimination analysis,radar polarimetry,coherence-forest height estimation,forestry,nonforest discrimination analysis,in situ lidar data,alpha decomposition process,forest height mapping method,dual polarised entropy/alpha decomposition,remote sensing by laser beam,optical radar,coherence optimisation,partial polarimetric coherence optimisation method,vegetation mapping,entropy,multiple scattering mechanisms (msm),dual polarised entropy,coherence,laser radar,forest canopy,biomass,optimization | Tree canopy,Polarimetry,Computer science,Remote sensing,Coherence (physics),Lidar,Lidar data,Optical radar,Decomposition | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4577-1003-2 | 1 |
PageRank | References | Authors |
0.39 | 6 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng-Shu Zhou | 1 | 54 | 9.83 |
| Peter Caccetta | 2 | 50 | 8.55 |
| Eric A. Lehmann | 3 | 227 | 16.39 |
| Alex Held | 4 | 22 | 9.80 |
| Stephen J. McNeill | 5 | 63 | 19.71 |
| Anthea L. Mitchell | 6 | 17 | 3.34 |
| Anthony K. Milne | 7 | 41 | 7.49 |
| Ian Tapley | 8 | 8 | 2.77 |
| Kim Lowell | 9 | 14 | 5.62 |