메뉴 건너뛰기




Volumn 33, Issue 5, 1995, Pages 1277-1285

Spectral and Spatial Decorrelation of Landsat-TM Data for Lossless Compression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CORRELATION THEORY; IMAGE CODING; IMAGE SENSORS; IMAGING TECHNIQUES; MATHEMATICAL MODELS; MULTISPECTRAL SCANNERS; REMOTE SENSING; THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 0029370899     PISSN: 01962892     EISSN: 15580644     Source Type: Journal    
DOI: 10.1109/36.469492     Document Type: Article
Times cited : (58)

References (19)
  • 1
    • 0002083812 scopus 로고
    • Data compression in remote sensing applications
    • Sept.
    • K. Sayood, “Data compression in remote sensing applications,” IEEE Geosci. Remote Sensing Newslett., vol. 84, pp. 7–15, Sept. 1992.
    • (1992) IEEE Geosci. Remote Sensing Newslett. , vol.84 , pp. 7-15
    • Sayood, K.1
  • 2
    • 0023386098 scopus 로고
    • Information content analysis of Landsat image data for compression
    • T. M. Chen, D. H. Staelin, and R. B. Arps, “Information content analysis of Landsat image data for compression,” IEEE Trans. Geosci. Remote Sensing, vol. GE-25, no. 4, pp. 499–501, 1987.
    • (1987) IEEE Trans. Geosci. Remote Sensing , vol.GE-25 , Issue.4 , pp. 499-501
    • Chen, T.M.1    Staelin, D.H.2    Arps, R.B.3
  • 3
    • 84969663896 scopus 로고
    • Multispectral image compression by wavelet/Karhunen-Loeve transformation
    • B. R. Epstein, R. Hingorami, J. M. Shapiro, and M. Czigler, “Multispectral image compression by wavelet/Karhunen-Loeve transformation,” in Proc. IGARSS'92, 1992, pp. 672–674.
    • (1992) Proc. IGARSS'92 , pp. 672-674
    • Epstein, B.R.1    Hingorami, R.2    Shapiro, J.M.3    Czigler, M.4
  • 4
    • 0026869777 scopus 로고
    • Feature predictive vector quantization of multispectral images
    • May
    • S. Gupta and A. Gersho, “Feature predictive vector quantization of multispectral images,” IEEE Trans. Geosci. Remote Sensing, vol. GE-30, pp. 491–501, May 1992.
    • (1992) IEEE Trans. Geosci. Remote Sensing , vol.GE-30 , pp. 491-501
    • Gupta, S.1    Gersho, A.2
  • 5
    • 85007094218 scopus 로고
    • Prediction trees and lossless image compression—An extended abstract
    • J. H. Reif and J. A. Storer, Eds., IEEE Computer Society Press
    • N. D. Memon, S. S. Magliveras, and K. Sayood, “Prediction trees and lossless image compression—An extended abstract,” in Proc. Data Compression Conf., J. H. Reif and J. A. Storer, Eds., IEEE Computer Society Press, 1991, pp. 83–92.
    • (1991) Proc. Data Compression Conf. , pp. 83-92
    • Memon, N.D.1    Magliveras, S.S.2    Sayood, K.3
  • 6
    • 0028402418 scopus 로고
    • Lossless compression of multispectral image data
    • Mar.
    • N. D. Memon, K. Sayood, and S. S. Magliveras, “Lossless compression of multispectral image data,” IEEE Trans. Geosci. Remote Sensing, vol. GE-32, no. 2, pp. 282–289, Mar. 1994.
    • (1994) IEEE Trans. Geosci. Remote Sensing , vol.GE-32 , Issue.2 , pp. 282-289
    • Memon, N.D.1    Sayood, K.2    Magliveras, S.S.3
  • 8
    • 0024703141 scopus 로고
    • Block adaptive quantization of Magellan SAR data
    • July
    • R. Kwok and W. T. Johnson, “Block adaptive quantization of Magellan SAR data,” IEEE Trans. Geosci. Remote Sensing, vol. 27, no. 4, pp. 375–383, July 1989.
    • (1989) IEEE Trans. Geosci. Remote Sensing , vol.27 , Issue.4 , pp. 375-383
    • Kwok, R.1    Johnson, W.T.2
  • 9
    • 0029206923 scopus 로고
    • System considerations for multispectral image compression designs
    • Jan.
    • V. D. Vaughn and T. S. Wilkinson, “System considerations for multispectral image compression designs,” IEEE Signal Process. Mag., vol. 12, no. 1, pp. 19–31, Jan. 1995.
    • (1995) IEEE Signal Process. Mag. , vol.12 , Issue.1 , pp. 19-31
    • Vaughn, V.D.1    Wilkinson, T.S.2
  • 10
    • 0029184860 scopus 로고
    • Practical transform coding of multispectral imagery
    • Jan.
    • J. A. Saghri, A. G. Tescher, and J. T. Reagan, “Practical transform coding of multispectral imagery,” IEEE Signal Process. Mag., vol. 12, no. 1, pp. 32–43, Jan. 1995.
    • (1995) IEEE Signal Process. Mag. , vol.12 , Issue.1 , pp. 32-43
    • Saghri, J.A.1    Tescher, A.G.2    Reagan, J.T.3
  • 11
    • 0027962046 scopus 로고
    • Band ordering in lossless compression of multispectral images
    • S. R. Tate, “Band ordering in lossless compression of multispectral images,” in Proc. Data Compression Conf., 1994, pp. 311–320.
    • (1994) Proc. Data Compression Conf. , pp. 311-320
    • Tate, S.R.1
  • 12
    • 0015204082 scopus 로고
    • Compression of nth-order DPCM encoder with linear transformations and block quantization techniques
    • Dec.
    • A. Habibi, “Compression of nth-order DPCM encoder with linear transformations and block quantization techniques,” IEEE Trans. Commun. Technol., vol. COM-19, no. 6, pp. 948–956, Dec. 1971.
    • (1971) IEEE Trans. Commun. Technol. , vol.COM-19 , Issue.6 , pp. 948-956
    • Habibi, A.1
  • 13
    • 0018996439 scopus 로고
    • Picture coding: A review
    • Mar.
    • A. N. Netravali and J. O. Limb, “Picture coding: A review,” Proc. IEEE, vol. 68, no. 3, pp. 366–406, Mar. 1980.
    • (1980) Proc. IEEE , vol.68 , Issue.3 , pp. 366-406
    • Netravali, A.N.1    Limb, J.O.2
  • 15
    • 0026142897 scopus 로고
    • The JPEG still picture compression standard
    • Apr.
    • G. K. Wallace, “The JPEG still picture compression standard,” Commun. ACM, vol. 34, no. 4, pp. 31–44, Apr. 1991.
    • (1991) Commun. ACM , vol.34 , Issue.4 , pp. 31-44
    • Wallace, G.K.1
  • 16
    • 85068426780 scopus 로고
    • New methods for lossless image compression using arithmetic coding
    • J. H. Reif and J. A. Storer, Eds., IEEE Computer Society Press
    • P. G. Howard and J. S. Vitter, “New methods for lossless image compression using arithmetic coding,” in Proc. Data Compression Conf., J. H. Reif and J. A. Storer, Eds., IEEE Computer Society Press, 1991, pp. 257–266.
    • (1991) Proc. Data Compression Conf. , pp. 257-266
    • Howard, P.G.1    Vitter, J.S.2
  • 17
    • 0027931986 scopus 로고
    • Reversible image compression bounded by noise
    • Jan.
    • R. E. Roger and J. F. Arnold, “Reversible image compression bounded by noise,” IEEE Trans. Geosci. Remote Sensing, vol. 32, no. 1, pp. 19–24, Jan. 1994.
    • (1994) IEEE Trans. Geosci. Remote Sensing , vol.32 , Issue.1 , pp. 19-24
    • Roger, R.E.1    Arnold, J.F.2
  • 19
    • 0028742130 scopus 로고
    • Spatial and spectral decorrelation for lossless data compression of Landsat-TM imagery
    • S. Tang, J. Wang, and K. Zhang, “Spatial and spectral decorrelation for lossless data compression of Landsat-TM imagery,” in Proc. IGARSS'94, 1994, vol. 1, pp. 332–334.
    • (1994) Proc. IGARSS'94 , vol.1 , pp. 332-334
    • Tang, S.1    Wang, J.2    Zhang, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.