Geometric phase applications to ISAR image compression

Author

Aleksiejunas, Rimvydas ; Ivaska, V.

Author_Institution

Dept. of Radiphys., Vilnius Univ.

Volume

2

fYear

2000

fDate

2000

Firstpage

627

Abstract

The work introduces a method for ISAR image compression based on the geometric phase decomposition. Complex 2D radar data can be compressed in cross-range (Doppler frequency) dimension several times without significant image smearing and without loss of phase information. With the help of joint time-frequency analysis, target motion can still be recovered from the compressed image. For a stepped-frequency ISAR an image with a given compression ratio can be obtained directly as a portion of radar time-history series without any additional processing

Keywords

data compression; image coding; radar detection; radar imaging; synthetic aperture radar; time series; time-frequency analysis; 2D radar data; Doppler frequency; cross-range dimension; geometric phase decomposition; image compression; joint time-frequency analysis; radar time-history series; stepped-frequency ISAR; target motion; Discrete Fourier transforms; Doppler radar; Frequency; Image coding; Image resolution; Motion analysis; Radar imaging; Radar signal processing; Signal processing algorithms; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves, Radar and Wireless Communications. 2000. MIKON-2000. 13th International Conference on

Conference_Location

Wroclaw

Print_ISBN

83-906662-3-5

Type

conf

DOI

10.1109/MIKON.2000.914012

Filename

914012