메뉴 건너뛰기




Volumn 14, Issue 5, 2017, Pages 639-643

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

Author keywords

Convolutional neural networks (CNNs); Deep learning (DL); Hyperspectral (HS); Image fusion; multispectral (MS)

Indexed keywords

ADDITIVE NOISE; NEURAL NETWORKS; SPECTROSCOPY;

EID: 85014871642     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2668299     Document Type: Article
Times cited : (313)

References (21)
  • 1
    • 84911429990 scopus 로고    scopus 로고
    • A critical comparison among pansharpening algorithms
    • May
    • G. Vivone et al., "A critical comparison among pansharpening algorithms," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2565-2586, May 2015.
    • (2015) IEEE Trans. Geosci. Remote Sens. , vol.53 , Issue.5 , pp. 2565-2586
    • Vivone, G.1
  • 2
    • 84888295476 scopus 로고    scopus 로고
    • A new pansharpening algorithm based on total variation
    • Jan.
    • F. Palsson, J. R. Sveinsson, and M. O. Ulfarsson, "A new pansharpening algorithm based on total variation," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 318-322, Jan. 2014.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.1 , pp. 318-322
    • Palsson, F.1    Sveinsson, J.R.2    Ulfarsson, M.O.3
  • 3
    • 84921045174 scopus 로고    scopus 로고
    • A new pansharpening method based on spatial and spectral sparsity priors
    • Sep.
    • X. He, L. Condat, J. Bioucas-Dias, J. Chanussot, and J. Xia, "A new pansharpening method based on spatial and spectral sparsity priors," IEEE Trans. Image Process., vol. 23, no. 9, pp. 4160-4174, Sep. 2014.
    • (2014) IEEE Trans. Image Process , vol.23 , Issue.9 , pp. 4160-4174
    • He, X.1    Condat, L.2    Bioucas-Dias, J.3    Chanussot, J.4    Xia, J.5
  • 4
    • 70350662759 scopus 로고    scopus 로고
    • Noise-resistant waveletbased Bayesian fusion of multispectral and hyperspectral images
    • Nov.
    • Y. Zhang, S. De Backer, and P. Scheunders, "Noise-resistant waveletbased Bayesian fusion of multispectral and hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3834-3843, Nov. 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.11 , pp. 3834-3843
    • Zhang, Y.1    De Backer, S.2    Scheunders, P.3
  • 6
    • 84959928652 scopus 로고    scopus 로고
    • Fusion of hyperspectral and multispectral images using spectral unmixing and sparse coding
    • Jun.
    • Z. H. Nezhad, A. Karami, R. Heylen, and P. Scheunders, "Fusion of hyperspectral and multispectral images using spectral unmixing and sparse coding," IEEE J. Sel. Topics Appl. Earth Observ. Remote Ses., vol. 9, no. 6, pp. 2377-2389, Jun. 2016.
    • (2016) IEEE J. Sel. Topics Appl. Earth Observ. Remote Ses. , vol.9 , Issue.6 , pp. 2377-2389
    • Nezhad, Z.H.1    Karami, A.2    Heylen, R.3    Scheunders, P.4
  • 7
    • 84962562838 scopus 로고    scopus 로고
    • Hyperspectral and multispectral image fusion using CNMF with minimum endmember simplex volume and abundance sparsity constraints
    • Jul.
    • Y. Zhang, Y. Wang, Y. Liu, C. Zhang, M. He, and S. Mei, "Hyperspectral and multispectral image fusion using CNMF with minimum endmember simplex volume and abundance sparsity constraints," in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), Jul. 2015, pp. 1929-1932.
    • (2015) Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS) , pp. 1929-1932
    • Zhang, Y.1    Wang, Y.2    Liu, Y.3    Zhang, C.4    He, M.5    Mei, S.6
  • 8
    • 33947362930 scopus 로고    scopus 로고
    • Multi-spectral and hyperspectral image fusion using 3-D wavelet transform
    • Mar.
    • Y. Zhang and M. He, "Multi-spectral and hyperspectral image fusion using 3-D wavelet transform," J. Electron. (China), vol. 24, no. 2, pp. 218-224, Mar. 2007.
    • (2007) J. Electron. (China) , vol.24 , Issue.2 , pp. 218-224
    • Zhang, Y.1    He, M.2
  • 10
    • 84897027199 scopus 로고    scopus 로고
    • Fusion of hyperspectral and multispectral images: A novel framework based on generalization of pan-sharpening methods
    • Aug.
    • Z. Chen, H. Pu, B. Wang, and G.-M. Jiang, "Fusion of hyperspectral and multispectral images: A novel framework based on generalization of pan-sharpening methods," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 8, Aug. 2014, Art. no. 1.
    • (2014) IEEE Geosci. Remote Sens. Lett. , vol.11 , Issue.8
    • Chen, Z.1    Pu, H.2    Wang, B.3    Jiang, G.-M.4
  • 12
    • 42449160709 scopus 로고
    • Handwritten digit recognition with a back-propagation network
    • London, U.K.: Chappman & Hall
    • Y. LeCun et al., "Handwritten digit recognition with a back-propagation network," in Neural Networks, Current Applications. London, U.K.: Chappman & Hall, 1992.
    • (1992) Neural Networks, Current Applications
    • LeCun, Y.1
  • 13
    • 85027937409 scopus 로고    scopus 로고
    • A new pan-sharpening method with deep neural networks
    • May
    • W. Huang, L. Xiao, Z. Wei, H. Liu, and S. Tang, "A new pan-sharpening method with deep neural networks," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 5, pp. 1037-1041, May 2015.
    • (2015) IEEE Geosci. Remote Sens. Lett. , vol.12 , Issue.5 , pp. 1037-1041
    • Huang, W.1    Xiao, L.2    Wei, Z.3    Liu, H.4    Tang, S.5
  • 14
    • 84993982662 scopus 로고    scopus 로고
    • Pansharpening by convolutional neural networks
    • G. Masi, D. Cozzolino, L. Verdoliva, and G. Scarpa, "Pansharpening by convolutional neural networks," Remote Sens., vol. 8, no. 7, p. 594, 2016.
    • (2016) Remote Sens. , vol.8 , Issue.7 , pp. 594
    • Masi, G.1    Cozzolino, D.2    Verdoliva, L.3    Scarpa, G.4
  • 16
    • 33645410496 scopus 로고
    • Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
    • D. H. Hubel and T. N. Wiesel, "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex," J. Physiol., vol. 160, no. 1, pp. 106-154, 1962.
    • (1962) J. Physiol. , vol.160 , Issue.1 , pp. 106-154
    • Hubel, D.H.1    Wiesel, T.N.2
  • 20
    • 0001256711 scopus 로고
    • Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm
    • R. H. Yuhas, A. F. Goetz, and J. W. Boardman, "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm," in Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop, vol. 1. 1992, pp. 147-149.
    • (1992) Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop , vol.1 , pp. 147-149
    • Yuhas, R.H.1    Goetz, A.F.2    Boardman, J.W.3
  • 21
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • Apr.
    • Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
    • (2004) IEEE Trans. Image Process , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.