An Improved BAQ Encoding and Decoding Method for Improving the Quantized SNR of SAR Raw Data

Abstract

When the original echo data of SAR are saturated for quantization, the performance of the commonly used block adaptive quantization (BAQ) algorithm will be degraded, which will degrade the imaging quality. This article proposes an improved Llody-Max codec method, which only needs to change the codec look-up table to get better quantization performance when the original echo is saturated. The simulation results show that the proposed method can reduce the quantization power loss, improve the echo signal-to-noise ratio (SNR), and reduce the influence of quantization saturation on the scattering mechanism of polarized SAR data, which have good practical application value.

Keywords

• synthetic aperture radar (SAR)
• raw data compression
• block adaptive quantization (BAQ)
• anti-saturation
• signal-to-noise ratio (SNR)