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基于感知器的遙感圖像無損壓縮編碼

張曉玲,  毋立芳,  沈蘭蓀

張曉玲, 毋立芳, 沈蘭蓀. 基于感知器的遙感圖像無損壓縮編碼[J]. 電子與信息學(xué)報, 2001, 23(7): 712-715.
引用本文: 張曉玲, 毋立芳, 沈蘭蓀. 基于感知器的遙感圖像無損壓縮編碼[J]. 電子與信息學(xué)報, 2001, 23(7): 712-715.
Zhang Xiaoling, Wu Lifang, Shen Lansun. REMOTE SENSING IMAGE LOSSLESS COMPRESSION BASED ON PERCEPTRON[J]. Journal of Electronics & Information Technology, 2001, 23(7): 712-715.
Citation: Zhang Xiaoling, Wu Lifang, Shen Lansun. REMOTE SENSING IMAGE LOSSLESS COMPRESSION BASED ON PERCEPTRON[J]. Journal of Electronics & Information Technology, 2001, 23(7): 712-715.

基于感知器的遙感圖像無損壓縮編碼

REMOTE SENSING IMAGE LOSSLESS COMPRESSION BASED ON PERCEPTRON

  • 摘要: 無損壓縮在遙感領(lǐng)域有極其重要的作用。該文提出一種基于感知器模型的遙感圖像無損壓縮編碼方法,該方法利用感知器具有學(xué)習(xí)能力的特點(diǎn),自適應(yīng)地調(diào)整圖像的預(yù)測系數(shù),對遙感圖像進(jìn)行空間和譜間去相關(guān),然后進(jìn)行熵編碼。實驗表明,對于多波段的遙感圖像,該方法的壓縮效果明顯優(yōu)于無損JPEG(Joint of Picture Expert Group)最優(yōu)預(yù)測模式。
    Abstract: Image lossless compression plays an important role in the remote sensing field. A new lossless coding algorithm based on perceptron is studied in this paper. The prediction coefficients can be adaptively adjusted by this model. Consequently both spacial and spectral correlation can be reduced. Experiments show that the algorithm is effective for remote sensing image.
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  • 陳述彭,童慶禧,郭華東,遙感信息機(jī)理研究,北京,科學(xué)出版社,1998,148-156[2]沈蘭蓀,圖像編碼與異步傳輸,北京,人民郵電出版社,1998,18 44[3]S. W. Golomb, Run-length encoding, IEEE Trans. on Information Theory, 1966, IT-12(), 399-401.[4]S. Wong, L. Zaremba, D. Gooden, H. K. Huang, Radiological image compression-A review.Proc. IEEE, 1995, 83(2), 194-219.[5]M.F. Carreto-Castro, Comparison of lossless compression techniques, Proc. of the 36th MidwestSymposium, 1993, 1268-1270.[6]N.D. Memon, K. Sayood, Lossless image compression, a comparative study, SPIE, Vol.2418,1995, 8 20. ［7］R.B. Arps, T. K. Truong, Comparison of international standards for lossless still image compres-sion, Proc. IEEE, 1994, 82(6), 889 899.[7]胡守仁,神經(jīng)網(wǎng)絡(luò)導(dǎo)論,長沙,國防科技大學(xué)出版社,1993,77-96[8]S.R. Tate, Band ordering in lossless compression of multispectral images, IEEE Trans. onComputers, 1997, C-46(4), 477-489.
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出版歷程
  • 收稿日期:  2000-03-06
  • 修回日期:  2000-07-07
  • 刊出日期:  2001-07-19

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