Title
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
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 Wang1999.71
Kazuo Ouchi211215.71