Paper Info
Title
Polinsar forestry applications improved by modeling height-dependent temporal decorrelation
Abstract
We model the temporal decorrelation in volumetric media imaged by a repeat-pass SAR interferometer by using a temporal correlation function that varies with depth. An expression of this function is proposed and based on the Brownian motion of the canopy and soil elements. The spatial and temporal correlation terms are merged in a single coherence model that includes a large class of decorrelation effects, such as those induced by changes in the structure of the medium. We discuss the effects of the temporal correlation function and its implications on the parameters estimation using the POLIN-SAR random volume over ground model.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651313
IGARSS
Keywords
Field
DocType
decorrelation,forestry,geophysical signal processing,radar interferometry,radar polarimetry,remote sensing by radar,soil,synthetic aperture radar,vegetation,vegetation mapping,Brownian motion,POLINSAR forestry applications,POLINSAR random volume over ground model,canopy,decorrelation effects,modeling height-dependent temporal decorrelation,repeat-pass SAR interferometer,single coherence model,soil elements,temporal correlation function,Synthetic aperture radar,decorrelation,interferometry,polarimetry
Polarimetry,Decorrelation,Computer science,Synthetic aperture radar,Remote sensing,Coherence (physics),Interferometry,Lidar,Correlation function,Brownian motion
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Marco Lavalle17113.28
Marc Simard210617.12
Eric Pottier342.87
Domenico Solimini46515.10