An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression

doi:10.7523/j.issn.2095-6134.2017.01.014

Abstract

Abstract:

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.

Key words: block-adaptive quantization, data compression, bit allocation, synthetic aperture radar

CLC Number:

TN958

PAN Zhigang, WANG Xiaolong, LI Zhiyong. An improved block adaptive quantization algorithm based on adaptive bit-allocation for SAR raw data compression[J]. , 2017, 34(1): 106-111.

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