Block Adaptive Scalar-vector Quantization for SAR Raw Data Compression
块自适应标量-矢量量化算法压缩SAR原始数据

The block adaptive quantization(BAQ) algorithm is comparatively mature for SAR raw data compression at present. This algorithm is on the premise that SAR raw data should satisfy Gauss distribution. But the imaged region is quite rugged, for example some blocks of data do not satisfy Gaussian distribution. Therefore, a block adaptive scalar-vector quantization(BASVQ) algorithm is put forward in this paper, namely, scalar quantization is applied when data blocks satisfy Gaussian distribution while vector quantization is applied when it does not satisfy. The experiments demonstrate that the performance of BASVQ algorithm outperforms that of BAQ algorithm. The BASVQ algorithm has practical value to some degree.