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