基于自适应加权方法的复值SAR图像的频域压缩改进算法
An Adaptively Weighted Method Based Approach for Data Compression of Complex-Valued SAR Images in Frequency Domain
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摘要: 该文提出了一种基于自适应加权方法的复值SAR图像的频域压缩改进算法。该算法在原有频域压缩算法的基础上采用了自适应的加权方法，在低压缩比(20:1)的情况下能够很好地保留原始数据图像的特征，是一种有效的复值SAR图像的压缩算法。复值空域相关系数指标评估，以及原始数据、重建数据的幅度图对比和两幅数据图像之间的相关系数图都验证了算法的有效性。Abstract: 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.
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1. 胡林，刘锡炎，齐倩，陈前斌. 可重构智能表面辅助多用户NOMA网络鲁棒资源分配. 电子学报. 2024(10): 3359-3367 . 
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