合成孔径雷达极坐标数据编码器

Data Compression of Synthetic Aperture Radar Using Polar Quantizers

摘要: 合成孔径成像雷达的观测区域广阔,图像分辨精度高,具有数据率高、数据量大的特点。这就对数据的传输和存储提出了较高的要求。采取数据压缩方法,在不降低测绘带宽和测绘精度条件下,降低遥感雷达数据率和数据量,从而降低对数据链和星上数据存储设备的要求。文中在对块自适应BAQ原始数据压缩算法研究基础之上,提出了极坐标量化数据压缩算法,并对X-SAR原始数据进行了压缩试验,获得了满意的结果。

Abstract: Synthetic aperture radar (SAR) produces high bit flow and large amount of data.The compression of data will benefit both data communication and data storage.In this paper,the polar quantization methods are used for SAR raw data compression,the polar quantization methods are introduced,the block adaptive quantization is combined with the polar quantization.At last,the figures of polar quantizers are tested by X-SAR raw data and compared with the quadratic quatizer.