Fusion of dynamic predictive block adaptive quantization and vector quantization for staggered SAR data compression

2020 ◽  
Vol 12 (2) ◽  
pp. 206-215
Author(s):  
Hang Zou ◽  
Fengjun Zhao ◽  
Xiaoxue Jia ◽  
Heng Zhang ◽  
Wei Wang
1995 ◽  
Vol 16 (16) ◽  
pp. 3179-3187 ◽  
Author(s):  
J.M. Moureaux ◽  
P. Gauthier ◽  
M. Barlaud ◽  
P. Bellemain

2004 ◽  
Vol 1 (2) ◽  
pp. 90-93 ◽  
Author(s):  
D. Gleich ◽  
B. Gergic ◽  
Z. Cucej ◽  
P. Planinsic

1989 ◽  
Vol 27 (4) ◽  
pp. 375-383 ◽  
Author(s):  
R. Kwok ◽  
W.T.K. Johnson

2013 ◽  
Vol 380-384 ◽  
pp. 1495-1498
Author(s):  
Shang Chun Zeng ◽  
Yun Xia Xie ◽  
Yi Xian Chen ◽  
Zhao Da Zhu

t is difficult to directly compress the raw data of synthetic aperture radar for its low relativity. In this paper, a new algorithm is put forward. Firstly range focusing is imposed to SAR raw data, which makes it have comparative high relativity, secondly a linear prediction is performed along the azimuth, lastly block adaptive quantization is used to the prediction difference series. The experiments manifest that with same bit rate, SQNR and SDNR of the algorithm proposed in this paper surpass that of BAQ algorithm. The calculation in this paper is far less than that of compression method after range focusing advised in corresponding reference. The algorithm proposed in this paper has a certain practical value.


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