DocumentCode :
1762051
Title :
S-RVoG model for forest parameters inversion over underlying topography
Author :
Hongxi Lu ; Zhiyong Suo ; Rui Guo ; Zheng Bao
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xian, China
Volume :
49
Issue :
9
fYear :
2013
fDate :
April 25 2013
Firstpage :
618
Lastpage :
620
Abstract :
Since the terrain slope cannot be neglected for forest height inversion with polarimetric synthetic aperture radar interferometry (PolInSAR), a sloped random volume over ground (S-RVoG) model is proposed to correct the terrain distortion for forest parameters estimation. A significant model complexity reduction is achieved by aligning the reference frame along the local terrain slope and changing the corresponding radar geometrical configuration. The proposed S-RVoG model inversion promises to provide much more accurate estimation of forest parameters and is validated with L-band PolInSAR data produced by PolSARpro software developed by the European Space Agency (ESA).
Keywords :
computational complexity; radar interferometry; synthetic aperture radar; ESA; European space agency; PolInSAR; S-RVoG model; complexity reduction; forest height inversion; forest parameters inversion; parameters estimation; polarimetric synthetic aperture radar interferometry; radar geometrical configuration; sloped random volume over ground; terrain distortion; terrain slope; underlying topography;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2012.4467
Filename :
6528127
Link To Document :
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