收稿日期: 2016-03-16
修回日期: 2016-05-16
网络出版日期: 2017-01-15
基金资助
国家自然科学基金（61101201）资助
An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression
Received date: 2016-03-16
Revised date: 2016-05-16
Online published: 2017-01-15
潘志刚 , 王小龙 , 李志勇 . SAR原始数据压缩的自适应比特分配BAQ算法[J]. 中国科学院大学学报, 2017 , 34(1) : 106 -111 . DOI: 10.7523/j.issn.2095-6134.2017.01.014
In this study, the variable bit rate BAQ algorithm is proposed based on adaptive rate allocation among blocks of SAR raw data. Compared with FDBAQ and SA-BAQ, the proposed rate selection scheme is completely automatic, without the optimization process using priori data. Compared with the traditional BAQ algorithm, the proposed method evidently improves signal-to-noise ratio (SNR) and decreases the phase error of SAR image at the expense of only slight increase of complexity. Besides, the new method realizes fraction bit rate, which increases the flexibility of the compression application for SAR raw data.
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