Title :
Geometric phase applications to ISAR image compression
Author :
Aleksiejunas, Rimvydas ; Ivaska, V.
Author_Institution :
Dept. of Radiphys., Vilnius Univ.
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;
Conference_Titel :
Microwaves, Radar and Wireless Communications. 2000. MIKON-2000. 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
83-906662-3-5
DOI :
10.1109/MIKON.2000.914012
