关于合成孔径雷达图像的量化位数和量化方法选择

Choosing the Quantization Bit and Quantization Method of Synthetic Aperture Radar Image

微小型的SAR (合成孔径雷达)设备回波经过聚焦之后,为便于存储与二次处理,研究一种有效的降采样方法能够在降低图像质量损失前提下,提高图像处理速率。文章简要介绍了微小型化合成孔径雷达图像存储位数的选择,从读取速率和算法处理效率两个方面分析了图像存储位数与图像质量的关系,详细地阐述合成孔径雷达图像降采样方法,并仿真得到不同量化方法所对应的信噪比和量化噪声。根据仿真的结果,文中提出的非均匀量化方法是一种能够提高量噪比的降采样方法。

After the echoes of micro SAR (Synthetic Aperture Radar) equipment are focused, in order to facilitate storage and secondary processing, an effective down-sampling method is studied to increase the image processing rate while reducing the loss of image quality. This article briefly introduces the selection of micro-miniaturized synthetic aperture radar image storage bits, analyzes the relationship between image storage bits and image quality from two aspects of read rate and algorithm processing efficiency, and elaborates the synthetic aperture radar image down sampling method in detail, and simulates the signal-to-noise ratio and quantization noise corresponding to different quantization methods. According to the simulation results, the non-uniform quantization method proposed in the article is a down sampling method that can improve the volume-to-noise ratio.