Title | ||
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Accuracy of the <formula formulatype="inline"><tex>$K$</tex></formula>-Distribution Regression Model for Forest Biomass Estimation by High-Resolution Polarimetric SAR: Comparison of Model Estimation and Field Data |
Abstract | ||
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In our previous regression model for estimating forest biomass, it was shown that non-Gaussian amplitude fluctuations in high-resolution polarimetric synthetic aperture radar (SAR) data of coniferous forests can accurately be described by the -distribution and that the order parameter of the -distribution can be useful in estimating the tree biomass of coniferous forests from L-band cross-polariza... |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/TGRS.2008.915756 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Biomass,Synthetic aperture radar,Radar cross section,Amplitude estimation,L-band,Radar polarimetry,Bioinformatics,Radar imaging,Radar remote sensing,Image texture analysis | Biomass,Vegetation,Akaike information criterion,K-distribution,Synthetic aperture radar,Regression analysis,Remote sensing,Ground truth,Radar cross-section,Mathematics | Journal |
Volume | Issue | ISSN |
46 | 4 | 0196-2892 |
Citations | PageRank | References |
1 | 0.37 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haipeng Wang | 1 | 99 | 9.71 |
Kazuo Ouchi | 2 | 112 | 15.71 |