合成孔徑雷達(dá)原始數(shù)據(jù)非線性量化壓縮頻譜分析
THE SPECTRAL ANALYSIS OF NON-LINEAR CODING COMPRESSED RAW DATA OF SYNTHETIC APERTURE RADAR
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摘要: 該文針對(duì)合成孔徑雷達(dá)原始數(shù)據(jù)的非線性量化壓縮,采用頻譜分析的方法探討了數(shù)據(jù)壓縮對(duì)雷達(dá)圖像分辨力指標(biāo)的影響問題。從分析結(jié)果中可以看出,雷達(dá)原始數(shù)據(jù)經(jīng)過壓縮以后,信號(hào)的頻譜并沒有損失,相當(dāng)于雷達(dá)圖像的分辨力并不降低;但數(shù)據(jù)壓縮會(huì)引入附加噪聲。該文還分析了非線性量化壓縮所產(chǎn)生的誤差的影響。
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關(guān)鍵詞:
- 原始數(shù)據(jù)壓縮; 非線性量化; 頻譜分析
Abstract: In this paper, a spectral analysis method is presented to assess the quality of Synthetic Aperture Radar(SAR) image whose raw data is non-linear coding compressed. Usually, it is assumed that the SAR raw data compression will result in the reduction of Signal to Noise Ratio(SNR), and the image quality is therefore degraded, but the resolution of image is not reduced. By means of the spectral analysis method in this paper, it is demonstrated the SAR data frequency spectrum is not reduced after the compression, and the SAR image resolution is retained. The effects of distortion resulted from the data compression is also analysed. -
T.H. Joo, D. N. Held, An adaptive quantization method for burst mode SAR, Proc. of IEEE International Radar Conference, Arlingtor, VA, May, 6-9, 1985, 385-390.[2]R. Kwok. W T. K. Johnson, Block adaptive quantization of Magellan SAR data, IEEE Trans on Geos. and Remote Sensing, 1989, GES-27(4), 375-383.[3]王巖飛,星載合成孔徑雷達(dá)數(shù)據(jù)的非線性量化壓縮,1995年中國青年學(xué)者技術(shù)科學(xué)學(xué)術(shù)討論會(huì)-空間物理與空間遙感及其應(yīng)用論文集,北京,1995年,325-328.[4]F.T. Ulaby, R. K. Moore, A K Fung, Microwave Remote Sensing Active and Passive, Vol.2,Addison-Wesley, MA, 1982, Chap. 7.[5]F.A. Collins, C. J. Sicking, Properties of low precision analog-to-digital converters, IEEE Trans.on Aerosp. Electron. Syst., 1976, AES-12(5), 643-646. -
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