메뉴 건너뛰기




Volumn , Issue , 2011, Pages

A multivariate wavelet-PCA denoising-filter for hyperspectral images

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK EXPERIMENTS; CROP PLANTS; DATA SETS; DE-NOISING; DE-NOISING ALGORITHM; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; MULTI-RESOLUTIONS; PHYSICAL MODEL; SPECTRAL REFLECTANCES; UNIVARIATE;

EID: 84255182413     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2011.6080901     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 1
    • 31344444452 scopus 로고    scopus 로고
    • Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivativedomain wavelet shrinkage
    • H. Othman and S.E. Qian, "Noise reduction of hyperspectral imagery using hybrid spatial-spectral derivativedomain wavelet shrinkage," IEEE Trans. Geoscience and Remote Sensing, vol. 44, no. 2, pp. 397-408, 2006.
    • (2006) IEEE Trans. Geoscience and Remote Sensing , vol.44 , Issue.2 , pp. 397-408
    • Othman, H.1    Qian, S.E.2
  • 2
    • 78649815530 scopus 로고    scopus 로고
    • Wavelet principal com- ponent analysis and its application to hyperspectral images
    • M.R. Gupta and N.P. Jacobson, "Wavelet principal com- ponent analysis and its application to hyperspectral images," IEEE Int. Conf. Image Processing, pp. 1585 - 1588, 2006.
    • (2006) IEEE Int. Conf. Image Processing , pp. 1585-1588
    • Gupta, M.R.1    Jacobson, N.P.2
  • 3
    • 33644673645 scopus 로고    scopus 로고
    • Multivariate denoising using wavelets and principal component analysis
    • M. Aminghafari, N. Cheze, and J.M. Poggi, "Multivariate denoising using wavelets and principal component analysis," Comp. Statistics & Data Analysis, vol. 50, no. 9, pp. 2381-2398, 2006.
    • (2006) Comp. Statistics & Data Analysis , vol.50 , Issue.9 , pp. 2381-2398
    • Aminghafari, M.1    Cheze, N.2    Poggi, J.M.3
  • 5
    • 19044395321 scopus 로고    scopus 로고
    • How many principal components? Stopping rules for determining the number of non-trivial axes revisited
    • P.R. Peres-Neto, D.A. Jackson, and K.M. Somers, "How many principal components? Stopping rules for determining the number of non-trivial axes revisited," Computational Statistics & Data Analysis, vol. 49, no. 4, pp. 974-997, 2005.
    • (2005) Computational Statistics & Data Analysis , vol.49 , Issue.4 , pp. 974-997
    • Peres-Neto, P.R.1    Jackson, D.A.2    Somers, K.M.3
  • 6
    • 0032680362 scopus 로고    scopus 로고
    • A fast algorithm for the minimum covariance determinant estimator
    • P. Rousseeuw and K. Van Driessen, "A fast algorithm for the minimum covariance determinant estimator," Technometrics, vol. 41, pp. 212-223, 1999.
    • (1999) Technometrics , vol.41 , pp. 212-223
    • Rousseeuw, P.1    Van Driessen, K.2
  • 7
    • 0032299331 scopus 로고    scopus 로고
    • What is the spectral dimensionality of illumination functions in outdoor scenes?
    • D. Slater and G. Healey, "What is the spectral dimensionality of illumination functions in outdoor scenes?," IEEE Conf. on Computer Vision and Pattern Recognition, pp. 105-110, 1998.
    • (1998) IEEE Conf. on Computer Vision and Pattern Recognition , pp. 105-110
    • Slater, D.1    Healey, G.2
  • 8
    • 0025227175 scopus 로고
    • Deconvolution of mineral absorption bands: An improved approach
    • J.M. Sunshine, C.M. Pieters, and S.F. Pratt, "Deconvolution of mineral absorption bands: An improved approach," J. of Geophysical Research, vol. 95, no. B5, pp. 6955-6966, 1990.
    • (1990) J. of Geophysical Research , vol.95 , Issue.B5 , pp. 6955-6966
    • Sunshine, J.M.1    Pieters, C.M.2    Pratt, S.F.3
  • 9
    • 78649307314 scopus 로고    scopus 로고
    • Clustering of plant phenotypes by means of hyperspectral signatures using artificial neural networks
    • U. Seiffert, F. Bollenbeck, H.-P. Mock, and A. Matros, "Clustering of plant phenotypes by means of hyperspectral signatures using artificial neural networks," in Proc. IEEE Whispers, 2010.
    • (2010) Proc. IEEE Whispers
    • Seiffert, U.1    Bollenbeck, F.2    Mock, H.-P.3    Matros, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.