天气雷达回波数据的并行自适应编码

Weather Radar Data Compression Based on Parallel Adaptive Coding Algorithm

研究基于小波的并行自适应天气雷达回波数据有损压缩算法。根据回波数据的特点,提出了回波数据的坐标转换算法、矢量场保持算法及标量场滤波算法等有效的预处理算法;利用并行自适应压缩算法对预处理后的雷达回波数据进行压缩实验。实验结果表明,该算法具有较好的并行性和自适应性,在低比特率情况下,能获得较高的功率信噪比值和满意的主观效果。

A novel compression algorithm for weather radar data based on parallel adaptive coding is presented. Considering the specialty of radar data, some efficient pre-processing algorithms for the data such as coordinate transformation algorithm, vector field holding algorithm and scalar filter algorithm are given first. Then the parallel adaptive coding algorithm is used to compress the pre-processed data. Experimental results show that for the weather radar data, the proposed parallel adaptive algorithm achieves good Power Signal to Noise Ratio （PSNR） even in low bit rate.