1. Study on a Compression Algorithm for SAR Raw Data
- Author
-
Xia Ming, Zhu Zhao-da, Zeng Shangchun, Xie Yunxia, and Chen Yixian
- Subjects
Synthetic aperture radar ,symbols.namesake ,Computer science ,Scalar quantization ,Quantization (signal processing) ,Gaussian ,Gauss ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Vector quantization ,symbols ,Raw data ,Algorithm ,Data compression - Abstract
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, some blocks of data doesn’t satisfy Gaussian distribution. Therefore, a block adative 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 don’t satisfy. The experiments demonstrate that the performance of BASVQ algorithm outperforms that of BAQ algorithm. The BASVQ algorithm has practical value in some degree.
- Published
- 2013