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Volumn 6, Issue 6, 2013, Pages 2472-2479

Saliency for spectral image analysis

Author keywords

Multi hyperspectral imagery; saliency; visualization

Indexed keywords

DIMENSIONALITY REDUCTION TECHNIQUES; HYPER-SPECTRAL IMAGES; IMAGE COMPARISON; MULTI/HYPERSPECTRAL IMAGERY; SALIENCY; SECOND ORDER STATISTICS; SPECTRAL IMAGES; VISUAL SALIENCY;

EID: 84890127620     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2257989     Document Type: Article
Times cited : (46)

References (29)
  • 1
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • A. M. Treisman and G. Gelade, A feature-integration theory of attention, Cognitive Psychology, vol. 12, no. 1, pp. 97-136, 1980.
    • (1980) Cognitive Psychology , vol.12 , Issue.1 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 5
    • 62649143331 scopus 로고    scopus 로고
    • Saliency, attention, visual search: An information theoretic approach
    • N. D. B. Bruce and J. K. Tsotsos, Saliency, attention, visual search: An information theoretic approach, J. Vision, vol. 9, no. 3, 2009.
    • (2009) J. Vision , vol.9 , Issue.3
    • Bruce, N.D.B.1    Tsotsos, J.K.2
  • 9
    • 77955637257 scopus 로고    scopus 로고
    • Computational visual attention systems and their cognitive foundations: A survey
    • S. Frintrop, E. Rome, and H. I. Christensen, Computational visual attention systems and their cognitive foundations: A survey, ACM/ IEEE Trans. Applied Perception, vol. 7, no. 1, p. 6, 2010.
    • (2010) ACM/IEEE Trans. Applied Perception , vol.7 , Issue.1 , pp. 6
    • Frintrop, S.1    Rome, E.2    Christensen, H.I.3
  • 14
    • 45249100930 scopus 로고    scopus 로고
    • On the plausibility of the discriminant center-surround hypothesis for visual saliency
    • D. Gao, V. Mahadevan, and N. Vasconcelos, On the plausibility of the discriminant center-surround hypothesis for visual saliency, J. Vision, vol. 8, no. 7, 2008.
    • (2008) J. Vision , vol.8 , Issue.7
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 16
    • 0036675246 scopus 로고    scopus 로고
    • Statistics of spatial cone-excitation ratios in natural scenes
    • S. M. C. Nascimento, F. P. Ferreira, and D. H. Foster, Statistics of spatial cone-excitation ratios in natural scenes, J. Opt. Soc. Amer. A, vol. 19, no. 8, pp. 1484-1490, 2002.
    • (2002) J. Opt. Soc. Amer. A , vol.19 , Issue.8 , pp. 1484-1490
    • Nascimento, S.M.C.1    Ferreira, F.P.2    Foster, D.H.3
  • 19
    • 33750590333 scopus 로고    scopus 로고
    • Band selection for hyperspectral image classification using mutual information
    • DOI 10.1109/LGRS.2006.878240, 1715309
    • B. Guo, S. R. Gunn, R. Damper, and J. D. B. Nelson, Band selection for hyperspectral image classification usingmutual information, IEEE Geosci. Remote Sens. Lett., vol. 3, no. 4, pp. 522-526, 2006. (Pubitemid 44679664)
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , Issue.4 , pp. 522-526
    • Guo, B.1    Gunn, S.R.2    Damper, R.I.3    Nelson, J.D.B.4
  • 20
    • 44049102958 scopus 로고    scopus 로고
    • Hyperspectral imagery visualization using double layers
    • S. Cai, Q. Du, and R. J. Moorhead, Hyperspectral imagery visualization using double layers, IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3028-3036, 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.10 , pp. 3028-3036
    • Cai, S.1    Du, Q.2    Moorhead, R.J.3
  • 21
    • 27844498673 scopus 로고    scopus 로고
    • Design goals and solutions for display of hyperspectral images
    • DOI 10.1109/TGRS.2005.857623
    • N. P. Jacobson and M. R. Gupta, Design goals and solutions for display of hyperspectral images, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2684-2692, 2005. (Pubitemid 41640792)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.11 , pp. 2684-2692
    • Jacobson, N.P.1    Gupta, M.R.2
  • 22
    • 0037934716 scopus 로고    scopus 로고
    • Automatic reduction of hyperspectral imagery using wavelet spectral analysis
    • S. Kaewpijit, J. Le Moigne, and T. El-Ghazawi, Automatic reduction of hyperspectral imagery using wavelet spectral analysis, IEEE Trans. Geosci. Remote Sens., vol. 41, no. 4, pp. 863-871, 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.4 , pp. 863-871
    • Kaewpijit, S.1    Le Moigne, J.2    El-Ghazawi, T.3
  • 23
    • 67349143233 scopus 로고    scopus 로고
    • Interactive hyperspectral image visualization using convex optimization
    • M. Cui, A. Razdan, J. Hu, and P. Wonka, Interactive hyperspectral image visualization using convex optimization, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 6, p. 1673, 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.6 , pp. 1673
    • Cui, M.1    Razdan, A.2    Hu, J.3    Wonka, P.4
  • 24
    • 0023349497 scopus 로고
    • Entropy and correlation: Some comments
    • T. O. Kvalseth, Entropy and correlation: Some comments, IEEE Trans. Syst., Man Cybern., vol. 17, no. 3, pp. 517-519, 1987.
    • (1987) IEEE Trans. Syst., Man Cybern. , vol.17 , Issue.3 , pp. 517-519
    • Kvalseth, T.O.1
  • 25
    • 33748642811 scopus 로고    scopus 로고
    • Perceptual display strategies of hyperspectral imagery based on PCA and ICA
    • SPIE
    • H. Zhang, D. W. Messinger, and E. D. Montag, Perceptual display strategies of hyperspectral imagery based on PCA and ICA, in Proc. SPIE, 2006, vol. 6233, p. 31, SPIE.
    • (2006) Proc. SPIE , vol.6233 , pp. 31
    • Zhang, H.1    Messinger, D.W.2    Montag, E.D.3
  • 26
    • 0032737410 scopus 로고    scopus 로고
    • Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification
    • X. Jia and J. Richards, Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification, IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 538-542, 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.1 , pp. 538-542
    • Jia, X.1    Richards, J.2
  • 27
    • 55649124564 scopus 로고    scopus 로고
    • Similarity-based unsupervised band selection for hyperspectral image analysis
    • Q. Du and H. Yang, Similarity-based unsupervised band selection for hyperspectral image analysis, IEEE Geosci. Remote Sens. Lett., vol. 5, no. 4, pp. 564-568, 2008.
    • (2008) IEEE Geosci. Remote Sens. Lett. , vol.5 , Issue.4 , pp. 564-568
    • Du, Q.1    Yang, H.2
  • 28
    • 58149107236 scopus 로고    scopus 로고
    • A low-complexity approach for the color display of hyperspectral remote-sensing images using one-bit transform-based band selection
    • B. Demir, A. Celebi, and S. Erturk, A low-complexity approach for the color display of hyperspectral remote-sensing images using one-bit transform-based band selection, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 1, pt. 1, pp. 97-105, 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.1 PART 1 , pp. 97-105
    • Demir, B.1    Celebi, A.2    Erturk, S.3
  • 29
    • 82155197171 scopus 로고    scopus 로고
    • A constrained band selection method based on information measures for spectral image color visualization
    • S. Le Moan, A. Mansouri, Y. Voisin, and J. Y. Hardeberg, A constrained band selection method based on information measures for spectral image color visualization, IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 5104-5115, 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.12 , pp. 5104-5115
    • Le Moan, S.1    Mansouri, A.2    Voisin, Y.3    Hardeberg, J.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.