基于自適應(yīng)加權(quán)方法的復(fù)值SAR圖像的頻域壓縮改進(jìn)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: 該文提出了一種基于自適應(yīng)加權(quán)方法的復(fù)值SAR圖像的頻域壓縮改進(jìn)算法。該算法在原有頻域壓縮算法的基礎(chǔ)上采用了自適應(yīng)的加權(quán)方法，在低壓縮比(20:1)的情況下能夠很好地保留原始數(shù)據(jù)圖像的特征，是一種有效的復(fù)值SAR圖像的壓縮算法。復(fù)值空域相關(guān)系數(shù)指標(biāo)評(píng)估，以及原始數(shù)據(jù)、重建數(shù)據(jù)的幅度圖對(duì)比和兩幅數(shù)據(jù)圖像之間的相關(guān)系數(shù)圖都驗(yàn)證了算法的有效性。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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