There has been much work ih Vibe area of data compression since the fundamental source coding theories were defined by Shannon. ' Most of the work has been done on speech with a growing percent on optical imagery. Only recently has work on Synthetic Aperture Radar (SAR) data compression begun to mature. With the high data rate of a typical SAR system, methods for compression have become important. In this paper, we focus on the source coding technique of Vector Quantization (VQ) for use in a SAR imaging environment. Several types of vector quantizers are presented and discussed. It is shown that VQs can achieve a minimum of 2:1 compression on SAR phase history data without any loss of quality.