航空学报 > 2007, Vol. 28 Issue (4): 959-963

一种SAR原始数据压缩新算法

曾尚春,朱兆达   

  1. 南京航空航天大学  401教研室
  • 收稿日期:2006-06-16 修回日期:2006-12-04 出版日期:2007-07-10 发布日期:2007-07-10
  • 通讯作者: 曾尚春

A Novel Algorithm for SAR Raw Data Compression

ZENG Shang-chun,ZHU Zhao-da   

  1. Faculty 401, Nanjing University of Aeronautics and Astronautics
  • Received:2006-06-16 Revised:2006-12-04 Online:2007-07-10 Published:2007-07-10
  • Contact: ZENG Shangchun

摘要:

由于合成孔径雷达(SAR)原始数据的相关性很低,直接压缩原始数据是比较困难的。因此提出一种新算法,先对SAR原始数据做距离聚焦处理,使其在方位向具有较强的相关性,再沿方位向做线性预测,并对预测差值系列做块自适应量化。实验表明,在相同比特率条件下,该算法得到的数据域信噪比和图像域信噪比均比块自适应量化(BAQ)算法高,计算量远小于有关文献给出的距离聚焦后的压缩方法,具有一定实用价值。

关键词: SAR, BAQ, 距离聚焦, 线性预测, 信噪比, 比特率, 块自适应量化

Abstract:

It is difficult to directly compress synthetic aperture radar (SAR) raw data for the low relativity. In this paper, a new algorithm is put forward. Range focusing is imposed to SAR raw data, which leads to comparatively high relativity, then a linear prediction is performed along the azimuth direction, and block adaptive quantization is used to the prediction error series.

Key words: SAR,  , BAQ,  , range , focusing,  , linear , prediction,  , signal , to , noise , ratio,  , bit , rate,  , block , adaptive , quantization

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