SAR Raw Data Compression Using Vector Quantization Techniques
Daiyin Zhu · Journal of Nanjing University of Science and Technology · 2006
This paper deals with the compression algorithms of synthetic aperture radar(SAR) raw data based on the vector quantization(VQ) techniques.The block adaptive tree-structured vector quantization(BATSVQ) algorithm and the block adaptive spherical vector quantization(BASVQ) algorithm are presented.Compared with the block adaptive vector quantization(BAVQ) algorithm,both of the proposed methods using constrained vector quantizer take the full advantage of SAR raw data properties of a Gaussian stationary process after a blockwise normalization.Live SAR data implementations and quantitative analysis of resultant images show that a better trade-off between performance and complexity is achieved by using the BATSVQ and BASVQ algorithms.