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| 雷达数据的准无损压缩 | |
| 引用本文： | 李飞鹏,梅天灿,秦前清.雷达数据的准无损压缩[J].武汉大学学报(理学版),2004,50(1):118-122. |
| 作者姓名： | 李飞鹏 梅天灿 秦前清 |
| 作者单位： | 1. 武汉大学,电子信息学学院,湖北,武汉,430072;武汉大学,测绘遥感信息工程国家重点实验室,湖北,武汉,430079 2. 武汉大学,电子信息学学院,湖北,武汉,430072 3. 武汉大学,测绘遥感信息工程国家重点实验室,湖北,武汉,430079 |
| 基金项目： | 国家自然科学基金资助项目(40204008) |
| 摘 要： | 利用不同周期雷达信号之间的相关性，采用二维小波变换，融合信号去噪和数据压缩算法，实现雷达数据的准无损压缩．针对雷达数据噪声较多的特点，在压缩之前通过软阈值滤波去除雷达信号中的大部分噪声，大大降低数据熵值．为评价重建信号质量，设计了形态逼真度指标．实验结果表明，该方法能对航空探测雷达回波数据进行较大比率压缩， |
| 关 键 词： | 雷达数据 准无损压缩 去噪 形态逼真度 二维小波变换 |
| 文章编号： | 1671-8836(2004)01-0118-05 |
| 修稿时间： | 2003年4月28日 |
Quasi-Lossless Compression of Radar Data |
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| LI Fei-peng,MEI Tian-can,QIN Qian-qing.Quasi-Lossless Compression of Radar Data[J].JOurnal of Wuhan University:Natural Science Edition,2004,50(1):118-122. | |
| Authors: | LI Fei-peng MEI Tian-can QIN Qian-qing |
| Institution: | LI Fei-peng~1,2,MEI Tian-can~1,QIN Qian-qing~2 |
| Abstract: | A compound algorithm combining signal de-noising with data compression is presented. Traditional compression methods use some prediction scheme to de-correlate the one-dimensional signal. Due to the large amount of noise, these methods, however, are not so efficient when used to radar data. For both signal de-noising and data compression, wavelet is a good choice. Also the algorithms for both purposes are very similar in the structure. To reduce the entropy of the data, a soft-thresholding is applied to de-noising the signal first, so that a quasi-lossless compression can be implemented. Experiments show that this algorithm demonstrates good performance in radar data compression. In addition, a new index named Morphological Fidelity is proposed to measure the morphological distortion of the reconstructed signal. |
| Keywords: | quasi-lossless de-noising morphological fidelity |
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