SAR Raw Data Compression Based on 2D Real-Valued Discrete Gabor Transform
Zhang Wen-chao①②; Wang Yan-fei①; Pan Zhi-gang①
①Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; ②Graduate University of Chinese Academy of Sciences, Beijing 100039, China)
Abstract：This paper proposes a compression method for Synthetic Aperture Radar (SAR) raw data，which is based on time-frequency analysis theory and the linear frequency modulation properties of the SAR raw data. In this method, the raw data of I and Q channels is divided into blocks at first, then each block is transformed into time-frequency domain by 2D-RDGT (Two-Dimensional Real valued Discrete Gabor Transform) and the desired bits are allocated to each frequency plane, finally each frequency plane is quantized with BAQ(Block Adaptive Quantization).The same raw data is experimented with this method and the existing methods.The experiments results show that this method outperforms the existing methods in raw data domain and SAR image domain.
张文超; 王岩飞; 潘志刚. 基于2D实值离散Gabor变换的SAR原始数据压缩[J]. 电子与信息学报, 2008, 30(3): 569-572 .
Zhang Wen-chao①②; Wang Yan-fei①; Pan Zhi-gang①. SAR Raw Data Compression Based on 2D Real-Valued Discrete Gabor Transform. , 2008, 30(3): 569-572 .
2008, Vol. 30 
