A coding algorithm for the covariance matrix representation of polarimetric radar data

Author

De Grandi, G. ; Lavalle, C. ; Sieber, A.J.

Author_Institution

Comm. of Eur. Communities, Joint Res. Centre Ispra, Varese, Italy

Volume

31

Issue

1

fYear

1993

fDate

1/1/1993 12:00:00 AM

Firstpage

292

Lastpage

295

Abstract

A coding algorithm for the covariance matrix representation of polarimetric radar data is presented. The goal is to optimize storage requirements and the throughput of computer applications for radar polarimetry, which rely on this kind of representation. The algorithm uses a 10-b quantizer, with gain balance and a nonlinear compressor expander, and achieves a compression factor of 2.5. Some theoretical considerations on the behavior of the quantizer with respect to the input data distribution are discussed. The algorithm performance is characterized using a data set acquired by the NASA JPL AIRSAR sensor

Keywords

data compression; geophysical techniques; image coding; matrix algebra; remote sensing by radar; synthetic aperture radar; SAR; coding algorithm; compression factor; computer applications; computer storage requirement; covariance matrix representation; data processing; land surface; measurement; nonlinear compressor expander; polarimetric radar; polarization; quantizer; remote sensing; technique; Algorithm design and analysis; Computer applications; Covariance matrix; NASA; Performance analysis; Quantization; Radar polarimetry; Radar scattering; Sensor phenomena and characterization; Throughput;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.210469

Filename

210469