基于小波包變換的SAR原始數(shù)據(jù)壓縮
SAR Raw Data Compression Using Wavelet Packet Transform
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摘要: 該文介紹了小波包變換和網(wǎng)格編碼量化的優(yōu)點，結(jié)合合成孔徑雷達(SAR)原始數(shù)據(jù)的特點，提出了基于小波包變換和網(wǎng)格編碼量化的SAR原始數(shù)據(jù)壓縮算法。利用模擬和實際數(shù)據(jù)分析了該壓縮算法的性能，通過與其他原始數(shù)據(jù)壓縮算法的比較說明了這一方法的有效性。
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關(guān)鍵詞:
- 合成孔徑雷達;數(shù)據(jù)壓縮;小波包變換;網(wǎng)格編碼量化
Abstract: The advantages of wavelet packet transform and Trellis-Coded Quantization (TCQ) are introduced and compression algorithm for SAR raw data based on wavelet packet transform and TCQ is given. Compression performance of the algorithm on simulated and real raw data analysis is presented and compared with other techniques by different quality parameters, which shows that the algorithm is suit for compression of SAR raw data. -
Benz U, Strodl K, Moreira A. A comparison of several algorithms for SAR raw data compression[J].IEEE Trans. on Geoscience and Remote Sensing.1995, 33(5):1266-1276[2]Pascazio V, Schitinzi G. Wavelet transform coding for SAR raw data compression. IGARSS, Hamburg, Germany, 1999, (4): 2251-2253.[3]Magli E, Olmo G, Penna B. Wavelet-based compression of SAR raw data. IGARSS, Toronto, Canada, 2002, (2): 24-28.[4]Pascazio V, Schitinzi G. SAR phase history data compression by using wavelet packets. IGARSS, Honolulu, USA, 2000, (6): 2639-2641.[5]Mallat S著(法), 楊力華等譯. 信號處理的小波導(dǎo)引(2nd). 北京: 機械工業(yè)出版社, 2002, 第八章.[6]楊福生. 小波變換的工程分析與應(yīng)用. 北京: 科學(xué)出版社, 1999, 第七章.[7]Marcellin M W, Fischer T R. Trellis coded quantization of memoryless and Gauss-Markov sources[J].IEEE Trans. on Commun.1990, 38(1):82-93 -
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