合成孔径雷达原始数据压缩AP算法幅相比特分配研究
doi: 10.3724/SP.J.1146.2006.01656
Study on Amplitude-Phase Bit Allocation of AP Algorithm for SAR Raw Data Compression
-
摘要: 该文研究合成孔径雷达原始数据压缩AP算法，由非正态信源率失真不等式下界结合拉格朗日乘子法推导了幅相比特分配的微分熵公式，指出幅度微分熵和相位微分熵决定了幅相比特分配。进一步研究了相位的均匀分布特性和幅度的瑞利分布特性，由连续信源微分熵定义推导了幅相比特分配的幅度均值公式，指出幅度均值是决定幅相比特分配的唯一因素。根据统计直方图和概率密度之间的关系，给出了更为一般情况下的幅度相位微分熵计算公式。两种幅相比特分配方案各有优点，都可以实现幅度相位比特的自动分配。真实数据实验证实了该方法的有效性。Abstract: In this paper, AP (Amplitude-Phase) algorithm for SAR raw data compression is studied and the formula of bit allocation between amplitude data and phase data is deduced based on the lower bound of rate-distortion inequality of non-normal information resource and the Lagrange multiplier, which points out that the bit allocation is decided by their differential entropy correspondingly. The uniform distribution of phase data and the Rayleigh distribution of amplitude data are investigated and the bit allocation formula is deduced according to the differential entropy of continuous information resource, which points out that the mean of amplitude is the only factor. According to the relationship between the histogram and the probability density function, a general differential entropy calculation formula is given. The two methods have their advantages and both can implement the auto-bit allocation. The validity of this method is proved by the real raw data compression experiments.
-
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[2]Huneycutt B L. Spaceborne imaging Radar-C instrument[J].IEEE Trans. on Geosci. and Remote Sensing.1989, 27(2):164-169[3]Moureaux J M, et al.. Raw SAR data compression usingvector quantization[J].Int. J. Remote Sensing.1995, 16(16):3179-3187[4]Moreira A and Blaser F. Fusion of block adaptive and vectorquantizer for efficient SAR data compression[C]. Proceedingsof the International Geoscience Remote Sensing Symposium,Tokyo, 1993: 1583-1585.[5]Benz U, Strodl K, and Moreira A. A comparison of severalalgorithms for SAR raw data compression[J].IEEE Trans. onGeosci. and Remote Sensing.1995, 33(5):1266-1276[6]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[7]Pearlman W A and Senge G H. Optimal quantization of theRayleigh probability distribution[J].IEEE Trans. onComunications.1979, 27(1):101-112[8]Verdugo Lazo A C G and Rathie P N. On the entropy ofcontinuous probability distribution[J].IEEE Trans. onInformation Theory.1978, 24(1):120-122 -
计量
- 文章访问数: 3618
- HTML全文浏览量: 93
- PDF下载量: 953
- 被引次数: 0
下载:
