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Volumn 16, Issue 3, 2006, Pages 413-424

Compression and classification methods for hyperspectral images

Author keywords

Clustering methods; Error estimation; Multispectral image compression; Remote sensing

Indexed keywords


EID: 33748801041     PISSN: 10546618     EISSN: 15556212     Source Type: Journal    
DOI: 10.1134/S1054661806030114     Document Type: Article
Times cited : (17)

References (19)
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  • 6
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    • Online
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    • Nelson, M.1
  • 11
    • 0034248782 scopus 로고    scopus 로고
    • An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis
    • C. I. Chang, "An Information-Theoretic Approach to Spectral Variability, Similarity, and Discrimination for Hyperspectral Image Analysis," IEEE Trans on Information Theory 46, 1927-1932 (2000).
    • (2000) IEEE Trans on Information Theory , vol.46 , pp. 1927-1932
    • Chang, C.I.1
  • 12
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    • A mathematical theory of communication
    • C. E. Shannon, "A Mathematical Theory of Communication," The Bell Sys. Tech. J. XXVII (2), 379-423 (1948).
    • (1948) The Bell Sys. Tech. J. , vol.27 , Issue.2 , pp. 379-423
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  • 13
    • 0030173121 scopus 로고    scopus 로고
    • A new, fast, and efficient image codes based on set partitioning in hierarchical trees
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    • Said, A.1    Pearlman, W.A.2
  • 14
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    • JPEG2000 Software: Kakadu
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    • SPIHT image compression. Available: http://www.cipr.rpi.edu/research/ SPIHT/, 2002.
    • (2002) SPIHT Image Compression
  • 19
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    • Embedded image coding using zerotrees of wavelet coefficients
    • J. M. Shapiro, "Embedded Image Coding Using Zerotrees of Wavelet Coefficients," IEEE Trans. on Signal Processing 41, pp. 3445-3462 (1993).
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    • Shapiro, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.