Abstract | ||
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Polarimetric synthetic aperture radar interferometry (PolInSAR) technique has been intensively used for extracting forest heights. Among the forest height inversion algorithms, maximum-likelihood estimate computes the maximum-likelihood estimate of the vegetation parameters based directly on the sample coherency matrix. The estimation of the sample coherency matrix is of great importance in this inversion process. A coherency matrix estimation method with adaptive averaging window derived from coherence region shape parameters is presented. Then the estimated coherency matrices are applied in the maximum likelihood inversion algorithm. In order to confirm the validity of the proposed method, simulated L-band PolInSAR data provided by ESA is used. Experiment results suggest that this method can help improve the accuracy of maximum likelihood inversion of forest heights. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/IGARSS.2009.5417845 | IGARSS |
Keywords | Field | DocType |
tree height inversion,synthetic aperture radar,forest height,polinsar technique,coherence region shape parameters,forest height inversion algorithms,coherency matrix estimation,maximum-likelihood estimation,maximum likelihood inversion algorithm,remote sensing by radar,simulated l-band polinsar data,polinsar,maximum likelihood,coherency matrix estimation method,vegetation parameters,radar interferometry,vegetation mapping,adaptive averaging window,polarimetric synthetic aperture radar interferometry technique,forest height extraction,radar polarimetry,covariance matrix,maximum likelihood estimate,vegetation,interferometry,shape parameter,maximum likelihood estimation,remote sensing,shape | Inversion (meteorology),Computer science,Synthetic aperture radar,Matrix (mathematics),Remote sensing,Maximum likelihood,Coherence (physics),Interferometry,Covariance matrix,Sample matrix inversion | Conference |
Volume | ISSN | ISBN |
3 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lulu Tan | 1 | 0 | 1.01 |
Ruliang Yang | 2 | 12 | 4.62 |
Weidong Yu | 3 | 4 | 1.24 |