Monte Carlo Evaluation of Multi-Look Effect on Entropy/Alpha /Anisotropy Parameters of Polarimetric Target Decomposition

Author

Lee, Jong-Sen ; Ainsworth, Thomas L. ; Grimes, M.R. ; Lopez-Martinez, Carlos

Author_Institution

Remote Sensing Div., Naval Res. Lab., Washington, DC

fYear

2006

fDate

July 31 2006-Aug. 4 2006

Firstpage

52

Lastpage

55

Abstract

Entropy, alpha and anisotropy (H/alpha/A) of the polarimetric target decomposition of Cloude and Pettier has been an effective and popular tool for polarimetric SAR image analysis and geophysical parameter estimation. However, multi-look processing can severely affect the values of these parameters. In this paper, a Monte Carlo method is used to evaluate the multi- look effect on these parameters for various media of grass, forest and urban. The effect of pixel correlation due to over sampling, and the mixed pixel effects will also be investigated. DLR/E-SAR and JPL/AIRSAR L-band data are used in this study.

Keywords

Monte Carlo methods; entropy; geophysical signal processing; geophysical techniques; parameter estimation; radar imaging; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; DLR-E-SAR L-band data; JPL-AIRSAR L-band data; Monte Carlo method; alpha parameter; anisotropy parameter; entropy parameter; geophysical parameter estimation; mixed pixel effects; multilook effect evaluation; multilook processing; over sampling effects; pixel correlation; polarimetric SAR image analysis; polarimetric target decomposition; Anisotropic magnetoresistance; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Filters; Geophysical measurements; Monte Carlo methods; Parameter estimation; Remote sensing; Scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on

Conference_Location

Denver, CO

Print_ISBN

0-7803-9510-7

Type

conf

DOI

10.1109/IGARSS.2006.18

Filename

4241165