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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2006, Vol. 27 ›› Issue (1): 82-86.

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Compression of SAR Raw Data by Block Adaptive Spherical Vector Quantization

GUAN Zhen-hong, ZHU Zhao-da, ZHU Dai-yin   

  1. College of Information Science and Technology, Nanjing University Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2004-11-22 Revised:2005-01-27 Online:2006-02-25 Published:2006-02-25

Abstract: In this paper,we propose to employ the block adaptive spherical vector quantization for compression of synthetic aperture radar (SAR) raw data.This algorithm exploits the known result that a blockwise normalized SAR raw signal is a Gaussian stationary process.With the comparison and analysis of quality parameters computed on the image, the proposed block adaptive spherical vector quantization shows an interesting performance/complexity trade-off, with respect to other algorithms such as the block adaptive quantization and the block adaptive vector quantization.

Key words: SAR, spherical vector quantization, block adaptive quantization, vector quantization

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