메뉴 건너뛰기




Volumn 60, Issue 4, 2012, Pages 1656-1671

Hyperspectral image unmixing using a multiresolution sticky HDP

Author keywords

Bayesian inference; hidden Markov trees; hyperspectral unmixing; image segmentation; spatially constrained unmixing; sticky hierarchical Dirichlet process

Indexed keywords

BAYESIAN INFERENCE; HIDDEN MARKOV TREE; HIERARCHICAL DIRICHLET PROCESS; HYPERSPECTRAL UNMIXING; UNMIXING;

EID: 84858327678     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2011.2180718     Document Type: Article
Times cited : (20)

References (43)
  • 1
    • 85032751896 scopus 로고    scopus 로고
    • Hyperspectral image data analysis
    • Jan
    • D. Landgrebe, "Hyperspectral image data analysis," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, Jan. 2002.
    • (2002) IEEE Signal Process. Mag. , vol.19 , Issue.1 , pp. 17-28
    • Landgrebe, D.1
  • 2
    • 14644399190 scopus 로고    scopus 로고
    • Analysis of remotely sensed data: The formative decades and the future
    • Mar
    • J. A. Richards, "Analysis of remotely sensed data: The formative decades and the future," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 422-432, Mar. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.3 , pp. 422-432
    • Richards, J.A.1
  • 4
    • 0000385570 scopus 로고    scopus 로고
    • Fast autonomous spectral end-member determination in hyperspectral data
    • Vancouver, British Columbia, Apr
    • M. Winter, "Fast autonomous spectral end-member determination in hyperspectral data," in Proc. 13th Int. Conf. on Appl. Geologic Remote Sens., Vancouver, British Columbia, Apr. 1999, vol. 2, pp. 337-344.
    • (1999) Proc. 13th Int. Conf. on Appl. Geologic Remote Sens. , vol.2 , pp. 337-344
    • Winter, M.1
  • 5
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • Apr
    • J.M.Nascimento and J. M. Bioucas-Dias, "Vertex component analysis: A fast algorithm to unmix hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.M.1    Bioucas-Dias, J.M.2
  • 6
    • 70350488509 scopus 로고    scopus 로고
    • A convex analysis based minimum volume enclosing simplex algorithm for hyperspectral unmixing
    • Nov
    • T. H. Chan, C. Y. Chi, Y. M. Hunag, and W. K. Ma, "A convex analysis based minimum volume enclosing simplex algorithm for hyperspectral unmixing," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4418-4432, Nov. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.11 , pp. 4418-4432
    • Chan, T.H.1    Chi, C.Y.2    Hunag, Y.M.3    Ma, W.K.4
  • 7
    • 70350493345 scopus 로고    scopus 로고
    • Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
    • Nov
    • N. Dobigeon, S. Moussaoui, M. Coulon, J. Y. Tourneret, and A. O. Hero, "Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4355-4368, Nov. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.11 , pp. 4355-4368
    • Dobigeon, N.1    Moussaoui, S.2    Coulon, M.3    Tourneret, J.Y.4    Hero, A.O.5
  • 8
    • 0036762725 scopus 로고    scopus 로고
    • Spatial/spectral endmember extraction by multidimensional morphological operations
    • Sep
    • A. Plaza, P. Martinez, R. Perez, and J. Plaza, "Spatial/spectral endmember extraction by multidimensional morphological operations," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 9, pp. 2025-2041, Sep. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , Issue.9 , pp. 2025-2041
    • Plaza, A.1    Martinez, P.2    Perez, R.3    Plaza, J.4
  • 9
    • 36348990884 scopus 로고    scopus 로고
    • Spectral and spatial complexity-based hyperspectral unmixing
    • Dec
    • S. Jia and Y. Qian, "Spectral and spatial complexity-based hyperspectral unmixing," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3867-3879, Dec. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.12 , pp. 3867-3879
    • Jia, S.1    Qian, Y.2
  • 11
    • 80455155174 scopus 로고    scopus 로고
    • Enhancing hyperspectral image unmixing with spatial correlations
    • Nov
    • O. Eches, N. Dobigeon, and J.-Y. Tourneret, "Enhancing hyperspectral image unmixing with spatial correlations," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4239-4247, Nov. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.11 , pp. 4239-4247
    • Eches, O.1    Dobigeon, N.2    Tourneret, J.-Y.3
  • 12
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • J. Besag, "Spatial interaction and the statistical analysis of lattice systems," J. Royal Stat. Soc. Ser. B, vol. 36, no. 2, pp. 192-236, 1974.
    • (1974) J. Royal Stat. Soc. Ser. B , vol.36 , Issue.2 , pp. 192-236
    • Besag, J.1
  • 13
    • 0033101403 scopus 로고    scopus 로고
    • Segmentation of textured images using a multiresolution Gaussian autoregressive model
    • Mar
    • M. L. Comer and E. J. Delp, "Segmentation of textured images using a multiresolution Gaussian autoregressive model," IEEE Trans. Image Process., vol. 8, no. 3, pp. 408-420, Mar. 1999.
    • (1999) IEEE Trans. Image Process. , vol.8 , Issue.3 , pp. 408-420
    • Comer, M.L.1    Delp, E.J.2
  • 14
    • 3843116557 scopus 로고    scopus 로고
    • Texture feature analysis usingGaussMarkovmodel in hyperspectral image classification
    • Jul
    • G. Rellier, X. Descombes, F. Falzon, and J. M. Bioucas-Dias, "Texture feature analysis usingGaussMarkovmodel in hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1543-1551, Jul. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.7 , pp. 1543-1551
    • Rellier, G.1    Descombes, X.2    Falzon, F.3    Bioucas-Dias, J.M.4
  • 15
    • 78651091937 scopus 로고    scopus 로고
    • A BayesianMRF framework for labeling terrain using hyperspectral imaging
    • Jul
    • R. Neher and A. Srivastava, "A BayesianMRF framework for labeling terrain using hyperspectral imaging," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1543-1551, Jul. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.7 , pp. 1543-1551
    • Neher, R.1    Srivastava, A.2
  • 16
    • 0028392841 scopus 로고
    • A multiscale random field model for Bayesian image segmentation
    • Mar
    • C. A. Bouman, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Process., vol. 3, no. 2, pp. 162-177, Mar. 1994.
    • (1994) IEEE Trans. Image Process. , vol.3 , Issue.2 , pp. 162-177
    • Bouman, C.A.1
  • 17
    • 39549088344 scopus 로고    scopus 로고
    • Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis
    • Feb
    • N. Bali and A. M. Djafari, "Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis," IEEE Trans. Image Process., vol. 17, no. 2, pp. 217-225, Feb. 2008.
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.2 , pp. 217-225
    • Bali, N.1    Djafari, A.M.2
  • 18
    • 0000013152 scopus 로고
    • On the statatistical analysis of dirty pictures
    • J. Besag, "On the statatistical analysis of dirty pictures," J. Royal Stat. Soc. Ser. B, vol. 48, no. 3, pp. 259-302, 1984.
    • (1984) J. Royal Stat. Soc. Ser. B , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.1
  • 19
    • 0345421566 scopus 로고    scopus 로고
    • Multiresolution Markov models for signal and image processing
    • Aug
    • A. S. Willsky, "Multiresolution Markov models for signal and image processing," IEEE Proc., vol. 90, no. 8, pp. 1396-1458, Aug. 2002.
    • (2002) IEEE Proc. , vol.90 , Issue.8 , pp. 1396-1458
    • Willsky, A.S.1
  • 24
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Dec
    • A. Hirotugu, "A new look at the statistical model identification," IEEE Trans. Autom. Contr., vol. 19, no. 6, pp. 716-723, Dec. 1974.
    • (1974) IEEE Trans. Autom. Contr. , vol.19 , Issue.6 , pp. 716-723
    • Hirotugu, A.1
  • 25
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • S. Gideon, "Estimating the dimension of a model," Ann. Statist., vol. 6, no. 2, pp. 461-464, 1978.
    • (1978) Ann. Statist. , vol.6 , Issue.2 , pp. 461-464
    • Gideon, S.1
  • 26
    • 77956889087 scopus 로고
    • Reversible jump MCMC computation and Bayesian determination
    • P. J. Green, "Reversible jump MCMC computation and Bayesian determination," Biometrika, vol. 82, pp. 711-732, 1995.
    • (1995) Biometrika , vol.82 , pp. 711-732
    • Green, P.J.1
  • 27
    • 0034824065 scopus 로고    scopus 로고
    • Model Selection byMCMC Computation
    • Jan
    • C. Andrieu, P. M. Djuric, and A. Doucet, "Model Selection byMCMC Computation," Signal Process., vol. 81, no. 1, pp. 19-37, Jan. 2001.
    • (2001) Signal Process. , vol.81 , Issue.1 , pp. 19-37
    • Andrieu, C.1    Djuric, P.M.2    Doucet, A.3
  • 28
    • 33644967739 scopus 로고    scopus 로고
    • Efficient Bayes factor estimation from the reversible jump output
    • F. Bartolucci, L. Scaccia, and A. Mira, "Efficient Bayes factor estimation from the reversible jump output," Biometrika, vol. 92, no. 1, pp. 41-52, 2006.
    • (2006) Biometrika , vol.92 , Issue.1 , pp. 41-52
    • Bartolucci, F.1    Scaccia, L.2    Mira, A.3
  • 29
    • 84867186048 scopus 로고    scopus 로고
    • Variational inference forDirichlet process mixtures
    • D. M. Blei andM. I. Jordan, "Variational inference forDirichlet process mixtures," Bayesian Anal., vol. 1, no. 1, pp. 121-144, 2005.
    • (2005) Bayesian Anal. , vol.1 , Issue.1 , pp. 121-144
    • Blei, D.M.1    Jordan, M.I.2
  • 30
    • 70349643583 scopus 로고    scopus 로고
    • Hidden Markov Mmdels with stick-breaking priors
    • Oct
    • J. Paisley and L. Carin, "Hidden Markov Mmdels with stick-breaking priors," IEEE Trans. Signal Process., vol. 57, no. 10, pp. 3905-3917, Oct. 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.10 , pp. 3905-3917
    • Paisley, J.1    Carin, L.2
  • 31
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • Mar
    • T. S. Ferguson, "A Bayesian analysis of some nonparametric problems," Ann. Statistics, vol. 1, no. 2, pp. 209-230, Mar. 1973.
    • (1973) Ann. Statistics , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, T.S.1
  • 32
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • J. Sethuraman, "A constructive definition of Dirichlet priors," Statistica Sinica, vol. 4, pp. 639-650, 1994.
    • (1994) Statistica Sinica , vol.4 , pp. 639-650
    • Sethuraman, J.1
  • 33
    • 0002617436 scopus 로고
    • Ferguson distributions via Pólya urn schemes
    • D. Blackwell and J. B. Macqueen, "Ferguson distributions via Pólya urn schemes," Ann. Statist., vol. 1, no. 2, pp. 353-355, 1973.
    • (1973) Ann. Statist. , vol.1 , Issue.2 , pp. 353-355
    • Blackwell, D.1    Macqueen, J.B.2
  • 34
    • 0001677650 scopus 로고    scopus 로고
    • Markov chain Monte Carlo approximate Dirichlet and beta two-parameter process hierarchical models
    • H. Ishwaran and M. Zarepour, "Markov chain Monte Carlo approximate Dirichlet and beta two-parameter process hierarchical models," Biometrika, vol. 87, no. 2, pp. 371-390, 2000.
    • (2000) Biometrika , vol.87 , Issue.2 , pp. 371-390
    • Ishwaran, H.1    Zarepour, M.2
  • 35
    • 0036623091 scopus 로고    scopus 로고
    • Exact and approximate sum-representations for the Dirichlet process
    • Jun
    • H. Ishwaran and M. Zarepour, "Exact and approximate sum-representations for the Dirichlet process," Canadian J. Statist., vol. 30, no. 2, pp. 269-283, Jun. 2002.
    • (2002) Canadian J. Statist. , vol.30 , Issue.2 , pp. 269-283
    • Ishwaran, H.1    Zarepour, M.2
  • 37
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet - based statistical signal processing using hidden Markov models
    • Apr
    • M. Crouse, R. D. Nowak, and R. G. Baraniuk, "Wavelet - based statistical signal processing using hidden Markov models," IEEE Trans. Signal Process., vol. 46, no. 4, pp. 886-902, Apr. 1998.
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.4 , pp. 886-902
    • Crouse, M.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 39
    • 84858309478 scopus 로고    scopus 로고
    • AVIRIS Free Data, Jet Propulsion Lab (JPL) ,Technol Calif.Inst. ,Pasadena CA 2006 [Online]. Available
    • AVIRIS Free Data, Jet Propulsion Lab (JPL), Calif. Inst. Technol., Pasadena, CA, 2006 [Online]. Available: http://aviris.jpl.nasa.gov/ html/aviris.freedata.html
  • 40
    • 46749145829 scopus 로고    scopus 로고
    • Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery
    • Jul
    • N. Dobigeon, J. Y. Tourneret, and C. I. Chang, "Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery," IEEE Trans. Signal Process., vol. 56, no. 7, pp. 2684-2695, Jul. 2008.
    • (2008) IEEE Trans. Signal Process. , vol.56 , Issue.7 , pp. 2684-2695
    • Dobigeon, N.1    Tourneret, J.Y.2    Chang, C.I.3
  • 41
    • 84858303839 scopus 로고    scopus 로고
    • Estimating a Dirichlet Distribution [Online]. Available
    • T. P. Minka, Estimating a Dirichlet Distribution [Online]. Available: http://research.microsoft.com/en-us/um/people/minka/papers/ dirichlet/minka- dirichlet.pdf
    • Minka, T.P.1
  • 43
    • 78651087078 scopus 로고    scopus 로고
    • Hyperspectral image segmentation and unmixing using hidden Markov trees
    • Hong Kong, Sep
    • R. Mittelman and A. O. Hero, "Hyperspectral image segmentation and unmixing using hidden Markov trees," in Proc. IEEE Conf. on Image Process. (ICIP), Hong Kong, Sep. 2010.
    • (2010) Proc. IEEE Conf. on Image Process. (ICIP)
    • Mittelman, R.1    Hero, A.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.