Title :
Fusion of block adaptive and vector quantizer for efficient SAR data compression
Author :
Moreira, Alberto ; Bläser, Frank
Author_Institution :
Inst. for Radio Frequency Technol., German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Abstract :
The paper proposes a new approach for efficient SAR raw data compression which consists of first compressing the raw data with the block adaptive quantizer (BAQ) and then performing a compression with vector quantizer (VQ) algorithm. This combination is computationally efficient since only one small codebook is needed for the coding which is independent from the data set. A signal-to-distortion ratio better than 12 dB and 6 dB is achieved for a data rate of 2 and 1 bit/sample, respectively
Keywords :
geophysics computing; image coding; remote sensing by radar; synthetic aperture radar; telecommunications computing; vector quantisation; BAQ; VQ; block adaptive quantizer; codebook; efficient SAR data compression; signal-to-distortion ratio; vector quantizer; Azimuth; Bandwidth; Data compression; Degradation; Downlink; Dynamic range; Gaussian distribution; Radio frequency; Synthetic aperture radar; Vector quantization;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322309
