DocumentCode :
1883684
Title :
Measuring orientation and randomness of vegetation using polarimetric SAR data
Author :
Arii, Motofumi ; Van Zyl, Jakob J. ; Kim, Yunjin
Author_Institution :
Mitsubishi Space Software Co., Ltd., Kamakura, Japan
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1195
Lastpage :
1198
Abstract :
Adaptive model-based polarimetric SAR decomposition has attracted significant attention to estimate the vegetation parameters of various vegetated terrains. However, an increased flexibility of parameter selection potentially causes unexpected misinterpretation. Using reasonable constraints, we should validate the decomposition results thoroughly based on solid physical interpretation. In this paper, we apply most general adaptive model-based decomposition technique to real SAR data by varying various vegetation parameters. Then validation will be conducted based on physical scattering theory.
Keywords :
electromagnetic wave scattering; geophysical signal processing; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; vegetation; adaptive model based PolSAR decomposition; adaptive model based decomposition technique; parameter selection; physical scattering theory; polarimetric SAR data; real SAR data; vegetated terrains; vegetation orientation measurement; vegetation parameter estimation; vegetation randomness measurement; Decision support systems; TV; Adaptive model-based Polarimetrie decomposition; general volume component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049412
Filename :
6049412
Link To Document :
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