An Adaptively Weighted Method Based Approach for Data Compression of Complex-Valued SAR Images in Frequency Domain
基于自适应加权方法的复值SAR图像的频域压缩改进算法

In this paper, an adaptively weighed method based approach is proposed for data compression of complex-valued SAR images in frequency domain. Based on the conventional compression algorithm in frequency domain, the improved approach adopts an adaptively weighed method and preserves the characteristic of the raw SAR images well at low compression ratio (<20:1). It proves the efficiency of the improved approach for data compression of complex-valued SAR images through evaluating complex spatial correlation coefficient, comparing the amplitude images of raw data and decompressed data, and displaying the correlation map visually.