Study on an Algorithm for SAR Raw Data Compression

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.

2013 ◽  
Vol 694-697 ◽  
pp. 2877-2880
Author(s):  
Shang Chun Zeng ◽  
Xian Lin Deng ◽  
Yi Xian Chen ◽  
Yun Xia Xie ◽  
Zhao Da Zhu

It 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.


1995 ◽  
Author(s):  
Y. Le Roy ◽  
Jean-Guy Planes ◽  
F. Cazaban

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