DocumentCode :
2685202
Title :
Estimators and distributions in single and multi-look polarimetric and interferometric data
Author :
Tough, R.J.A. ; Blacknell, D. ; Quegan, S.
Author_Institution :
Defense Res. Agency, Malvern, UK
Volume :
4
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
2176
Abstract :
Provides a nearly complete analysis of the key distributions encountered in single and multi-look polarimetric and interferometric synthetic aperture radar (SAR) data, under a Gaussian or multi-variate K distribution model. It contains new analytic results on the moments of phase difference in single look data, and on multi-look distributions of amplitude and phase. As yet no analytic results for the moments of multi-look phase difference have been found, except in limiting cases. The maximum likelihood estimators of the covariance matrix of two jointly Gaussian channels is derived, along with their asymptotic variances. A more complete discussion of these ideas is presented by Tough et al. (1994)
Keywords :
geophysical signal processing; geophysical techniques; maximum likelihood estimation; radar applications; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; SAR; asymptotic variance; covariance matrix; distributions; estimator; geophysical measurement technique; jointly Gaussian channel; maximum likelihood estimator; multilook; multivariate K distribution model; radar polarimetry; radar remote sensing; single look; synthetic aperture radar; terrain mapping land surface; Backscatter; Covariance matrix; Gaussian channels; Gaussian processes; Geoscience; Power measurement; Q measurement; Radar polarimetry; Random variables; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399684
Filename :
399684
Link To Document :
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