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Volumn 43, Issue 5, 2008, Pages 508-513

Curvelet domain-based prestack seismic data denoise method

Author keywords

Curvelet transform; Non linear threshold; Prestack seismic data; Random noise

Indexed keywords

RANDOM PROCESSES; SEISMIC RESPONSE; SEISMIC WAVES; SEISMOLOGY; VISUAL COMMUNICATION;

EID: 57149107638     PISSN: 10007210     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (21)

References (16)
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    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.1
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    • 0346727379 scopus 로고    scopus 로고
    • Ridgelets: A key to high-dimensional intermittency
    • Cande's E J, Donoho D L. Ridgelets: a key to high-dimensional intermittency. Phil Trans R Soc Lond A, 1999, 357: 2495-2509
    • (1999) Phil Trans R Soc Lond A , vol.357 , pp. 2495-2509
    • Cande's, E.J.1    Donoho, D.L.2
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    • 0344081126 scopus 로고    scopus 로고
    • Ridge functions and orthonormal ridge-lets
    • Donoho D L. Ridge functions and orthonormal ridge-lets. Journal of Approximation Theory, 2001, 111: 143-179
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  • 10
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    • Texture classification usingridgelet transform
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    • Study of Ridgelet transform in improving S/N ratio of seismic data in South China
    • Zhang Henglei, Liu Tianyou. Study of Ridgelet transform in improving S/N ratio of seismic data in South China. Journal of China University of Geosciences, 2007, 18: 507-509
    • (2007) Journal of China University of Geosciences , vol.18 , pp. 507-509
    • Zhang, H.1    Liu, T.2
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    • The curvelet transform for image denoising
    • Jean-Lue Starck et al. The curvelet transform for image denoising. IEEE Trans on Image Processing, 2002, 11(6): 670-684
    • (2002) IEEE Trans on Image Processing , vol.11 , Issue.6 , pp. 670-684
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.