| 摘要: |
| 首先分析了在合成孔径雷达（SAR）原始数据中通常使用的块自适应量化（BAQ）算法，然后在此基础上详细讨论了两种基于块自适应量化的变换域编码算法，即基于快速傅里叶变换块自适应量化（FFT-BAQ）和基于小波变换块自适应量化（WT-BAQ），并对这两种算法压缩得到数据解压缩获得图像与块自适应量化得到的图像进行分析比较，结果显示变换域编码技术能改善SAR原始数据压缩性能。 |
| 关键词: 合成孔径雷达 块自适应量化 小波变换 变换域编码 |
| DOI：10.3969/j.issn.1001-893X. |
| Received:October 22, 2005Revised:March 18, 2006 |
| 基金项目: |
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| Compression of SAR Raw Data by Transform Domain Coding Techniques |
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| Abstract: |
| The block adaptive quantization(BAQ) for compressing the synthetic aperture radar(SAR) raw data is analysed.Then transform domain algorithms based on BAQ,the fast Fourier transform block adaptive quantization(FFT-BAQ) and the wavelet transform block adaptive quantization(WTBAQ),are investigated in detail.With the comparison of quality parameters computed on the image,the FFT-BAQ and WT-BAQ show an increased performance in the compression method with respect to the BAQ. |
| Key words: synthetic aperture radar(SAR),BAQ,wawelete transform,transform domain coding |
