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Volumn 39, Issue 8, 2016, Pages 1583-1596

Remote sensing image fusion based on Deep Support Value Learning Networks

Author keywords

Convolutional neural networks; Deep learning; Deep support value learning networks; Machine learning; Overcomplete dictionary; Remote sensing image fusion

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVOLUTION; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; NEURAL NETWORKS; NUMERICAL METHODS; REMOTE SENSING;

EID: 84982214191     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: 10.11897/SP.J.1016.2016.01583     Document Type: Article
Times cited : (21)

References (35)
  • 1
    • 53349176951 scopus 로고    scopus 로고
    • Synthesis of multispectral Images to high spatial resolution: A critical review of fusion methods based on remote sensing physics
    • Thomas C, Ranchin T, Wald L, Chanussot J. Synthesis of multispectral Images to high spatial resolution: A critical review of fusion methods based on remote sensing physics. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(5): 1301-1312.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1301-1312
    • Thomas, C.1    Ranchin, T.2    Wald, L.3    Chanussot, J.4
  • 2
    • 0025919780 scopus 로고
    • Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic
    • Chavez P S, Sides S C, Anderson J A. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic. Photogrammetric Engineering and Remote Sensing, 1991, 57(3): 295-303.
    • (1991) Photogrammetric Engineering and Remote Sensing , vol.57 , Issue.3 , pp. 295-303
    • Chavez, P.S.1    Sides, S.C.2    Anderson, J.A.3
  • 3
    • 0008606197 scopus 로고    scopus 로고
    • Fusion of landsat TM and SAR images based on principal component analysis
    • (in Chinese)
    • Jia Yong-Hong. Fusion of landsat TM and SAR images based on principal component analysis. Remote Sensing Technology and Application, 1998, 13(1): 46-49 (in Chinese).
    • (1998) Remote Sensing Technology and Application , vol.13 , Issue.1 , pp. 46-49
    • Jia, Y.-H.1
  • 4
    • 0025573209 scopus 로고
    • The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data
    • Carper W J, Lillesand T M, Kiefer P W. The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data. Photogrametric Engineering and Remote Sensing, 1990, 56(4): 459-467.
    • (1990) Photogrametric Engineering and Remote Sensing , vol.56 , Issue.4 , pp. 459-467
    • Carper, W.J.1    Lillesand, T.M.2    Kiefer, P.W.3
  • 5
  • 6
    • 8344221153 scopus 로고    scopus 로고
    • A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery
    • Tu T M, Huang P S, Hung C L, Chang C P. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery. IEEE Geoscience and Remote Sensing Letters, 2004, 1(4): 309-312.
    • (2004) IEEE Geoscience and Remote Sensing Letters , vol.1 , Issue.4 , pp. 309-312
    • Tu, T.M.1    Huang, P.S.2    Hung, C.L.3    Chang, C.P.4
  • 7
    • 33244495276 scopus 로고    scopus 로고
    • Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening
    • United States Patent
    • Craig A L, Bernard V B. Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. United States Patent, 6011875, 2000.
    • (2000)
    • Craig, A.L.1    Bernard, V.B.2
  • 8
    • 0036495550 scopus 로고    scopus 로고
    • Using the discrete wavelet frame transform to merge landsat TM and SPOT panchromatic images
    • Li S T, Kwok J T, Wang Y N. Using the discrete wavelet frame transform to merge landsat TM and SPOT panchromatic images. Information Fusion, 2002, 3(1): 17-23.
    • (2002) Information Fusion , vol.3 , Issue.1 , pp. 17-23
    • Li, S.T.1    Kwok, J.T.2    Wang, Y.N.3
  • 9
    • 27844607355 scopus 로고    scopus 로고
    • Introduction of sensor spectral response into image fusion methods. Application to Wavelet-Based Methods
    • Otazu X, Gonzale-Audicana M, Fors O, Nunez J. Introduction of sensor spectral response into image fusion methods. Application to Wavelet-Based Methods. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(10): 2376-2385.
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.10 , pp. 2376-2385
    • Otazu, X.1    Gonzale-Audicana, M.2    Fors, O.3    Nunez, J.4
  • 10
  • 12
    • 77950502386 scopus 로고    scopus 로고
    • Multispectral image pansharpening based on the contourlet transform
    • Amro I, Mateos J. Multispectral image pansharpening based on the contourlet transform. Information Optics and Photonics, 2010, 206(1): 247-261.
    • (2010) Information Optics and Photonics , vol.206 , Issue.1 , pp. 247-261
    • Amro, I.1    Mateos, J.2
  • 13
    • 34347401837 scopus 로고    scopus 로고
    • Multisource image fusion method using support value transform
    • Zheng S, Shi W Z, Liu J, et al. Multisource image fusion method using support value transform. IEEE Transactions on Image Processing, 2007, 16(7): 1831-1839.
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.7 , pp. 1831-1839
    • Zheng, S.1    Shi, W.Z.2    Liu, J.3
  • 15
    • 84858075329 scopus 로고    scopus 로고
    • Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis
    • Yang S Y, Wang M, Jiao L C. Fusion of multispectral and panchromatic images based on support value transform and adaptive principal component analysis. Information Fusion, 2012, 13(3): 177-184.
    • (2012) Information Fusion , vol.13 , Issue.3 , pp. 177-184
    • Yang, S.Y.1    Wang, M.2    Jiao, L.C.3
  • 16
    • 79151485703 scopus 로고    scopus 로고
    • A new pan-sharpening method using a compressed sensing technique
    • Li S T, Yang B. A new pan-sharpening method using a compressed sensing technique. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2): 738-746.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.2 , pp. 738-746
    • Li, S.T.1    Yang, B.2
  • 18
    • 84883814326 scopus 로고    scopus 로고
    • Remote sensing image fusion via sparse representations over learned dictionaries
    • Li S T, Yin H T, Fang L Y. Remote sensing image fusion via sparse representations over learned dictionaries. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(9): 4779-4789.
    • (2013) IEEE Transactions on Geoscience and Remote Sensing , vol.51 , Issue.9 , pp. 4779-4789
    • Li, S.T.1    Yin, H.T.2    Fang, L.Y.3
  • 19
    • 84885018469 scopus 로고    scopus 로고
    • A sparse image fusion algorithm with application to pan-sharpening
    • Zhu X X, Bamler R. A sparse image fusion algorithm with application to pan-sharpening. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(5): 2827-2836.
    • (2013) IEEE Transactions on Geoscience and Remote Sensing , vol.51 , Issue.5 , pp. 2827-2836
    • Zhu, X.X.1    Bamler, R.2
  • 21
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networks. Science, 2006, 313(5786): 504-507.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 25
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 1998, 86(11): 2278-2324.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 27
    • 79551480483 scopus 로고    scopus 로고
    • Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
    • Vincent P, Larochelle H, Lajoie I, et al. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. Journal of Machine Learning Research, 2010, 11(6): 3371-3408.
    • (2010) Journal of Machine Learning Research , vol.11 , Issue.6 , pp. 3371-3408
    • Vincent, P.1    Larochelle, H.2    Lajoie, I.3
  • 30
    • 77951464520 scopus 로고    scopus 로고
    • License plate character recognition based on convolutional neural network LeNet-5
    • (in Chinese)
    • Zhao Zhi-Hong, Yang Shao-Pu, Ma Zeng-Qiang. License plate character recognition based on convolutional neural network LeNet-5. Journal of System Simulation, 2010, 22(3): 638-641 (in Chinese).
    • (2010) Journal of System Simulation , vol.22 , Issue.3 , pp. 638-641
    • Zhao, Z.-H.1    Yang, S.-P.2    Ma, Z.-Q.3
  • 32
    • 84937413702 scopus 로고    scopus 로고
    • Comparison of regularization methods for ImageNet classification with deep convolutional neural network
    • Smirnov E A, Timoshenko D M, Andrianov S N. Comparison of regularization methods for ImageNet classification with deep convolutional neural network. AASRI Procedia, 2014, 6(1): 89-94.
    • (2014) AASRI Procedia , vol.6 , Issue.1 , pp. 89-94
    • Smirnov, E.A.1    Timoshenko, D.M.2    Andrianov, S.N.3
  • 34
    • 37449020710 scopus 로고    scopus 로고
    • Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data-fusion contest
    • Alparone L, Wald L, Chanussot J, et al. Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data-fusion contest. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(10): 3012-3021.
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.10 , pp. 3012-3021
    • Alparone, L.1    Wald, L.2    Chanussot, J.3
  • 35
    • 0031284883 scopus 로고    scopus 로고
    • Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images
    • Wald L, Ranchin T, Mangolini M. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images. Photogrammetric Engineering and Remote Sensing, 1997, 63(6): 691-699.
    • (1997) Photogrammetric Engineering and Remote Sensing , vol.63 , Issue.6 , pp. 691-699
    • Wald, L.1    Ranchin, T.2    Mangolini, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.