【摘要】 针对SAR原始数据的特点,采用二级小波变换进行数据压缩。对低频分量作DCT再作Huffman编码;对高频分量采用一种改进的嵌入式小波零树编码方法。结合一组实测SAR原始数据,用两种算法分别进行了压缩和解压缩,并计算了数据域及图像域信噪比,给出了两种压缩算法所成的图像。实验表明,改进算法数据域及图像域信噪比均比原算法高,改进算法在性能上优于原算法。更多还原

【Abstract】 According to the characteristics of SAR raw data,two-level wavelet transform is adopted to compress the SAR raw data.DCT and Huffman coding are performed with the low frequency components;An improved imbedded zero-tree wavelet algorithm is applied to the high frequency components.By using a set of real SAR raw data,compression and decompression are made respectively.The SQNR and SDNR are achieved.The images correspond to the two algorithms are gained.The experimental results show that the SQNR and SDNR of the improved algorithm surpass that of the original algorithm.The performance of the improved algorithm precedes that of the original algorithm.The improved algorithm has some practical value.更多还原