SAR Raw Data Compression Based on 2D Real-Valued Discrete Gabor Transform

Huneycutt B L. Spaceborne imaging Radar-C instrument[J].IEEE Trans. on Geosci. and Remote Sensing.1989, 27(2):164-169[2]Kwok R and Johnson W T K. Block adaptive quantization ofMagellan SAR data[J].IEEE Trans. on Geosci. and RemoteSensing.1989, 27(4):375-383[3]Moreira A and Blaser F. Fusion of block adaptive and vectorquantizer for efficient SAR data compression. in Proceedingsof the International Geoscience Remote Sensing Symposium,Tokyo, 1993: 1583-1585.[4]姚世超, 王岩飞, 张冰尘, 廖蜀燕. 合成孔径雷达原始数据幅相压缩算法[J].电子与信息学报.2002, 24(11):1627-1633浏览[5]Pascazio V and Schirinzi G. Wavelet transform coding forSAR raw data compression. Proc. IGARSS, Hamburg, 1999:2251-2253.[6]Pascazio V and Schirinzi G. SAR phase history datacompression by using wavelet packets. Proc. IGARSS, Hawaii,2000: 2639-2641.[7]David L and Donoho M V. Data compression and harmonicanalysis [J].IEEE Trans. on Information theory.1998, 44(6):2435-2476[8]张贤达, 保铮. 非平稳信号分析与处理[M]. 北京: 国防工业出版社, 1998, 109-152.[9]Qian Shie, Chen Dapang. Discrete Gabor transform[J].IEEETrans. on Signal processing.1993, 41(7):2429-2438[10]Tao Liang and Kwan H K. 2-D real Gabor transform.Proceeding of the 1999 IEEE Canadian Conference onElectrical and Computer Engineering, Edmonton, Alberta,Canada, 1999, 831-834.王宏禹. 非平稳随机信号分析与处理[M]. 北京: 国防工业出版社, 1999: 126-172.[11]Baxter R A. SAR image compression with the Gabortransform [J].IEEE Trans. on Geoscience and remote sensing.1999, 37(1):574-588