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Volumn 17, Issue 1, 2016, Pages

Remote Sensing Image Fusion with Convolutional Neural Network

Author keywords

Convolutional neural network; Gram Schmidt transform; Remote sensing image fusion; Super resolution

Indexed keywords

CONVOLUTION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; NEURAL NETWORKS; OPTICAL RESOLVING POWER; REMOTE SENSING;

EID: 84975475015     PISSN: 15572064     EISSN: 15572072     Source Type: Journal    
DOI: 10.1007/s11220-016-0135-6     Document Type: Article
Times cited : (139)

References (22)
  • 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., Wald, L., Ranchin, T., & Chanussot, J. (2008). 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, 46(5), 1301–1312. doi:10.1109/TGRS.2007.912448.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1301-1312
    • Thomas, C.1    Wald, L.2    Ranchin, T.3    Chanussot, J.4
  • 2
    • 84919940999 scopus 로고    scopus 로고
    • Fusion based seamless mosaic for remote sensing images
    • Lu, T., Li, S. T., & Fu, W. (2014). Fusion based seamless mosaic for remote sensing images. Sensing and Imaging. doi:10.1007/s11220-014-0101-0.
    • (2014) Sensing and Imaging
    • Lu, T.1    Li, S.T.2    Fu, W.3
  • 4
    • 84882731476 scopus 로고    scopus 로고
    • Simultaneous fusion and denoising of panchromatic and multispectral satellite Images
    • Ragheb, A. M., Osman, H., Abbas, A. M., & Elkaffas, S. M. (2012). Simultaneous fusion and denoising of panchromatic and multispectral satellite Images. Sensing and Imaging, 13(3), 119–141. doi:10.1007/s11220-013-0075-3.
    • (2012) Sensing and Imaging , vol.13 , Issue.3 , pp. 119-141
    • Ragheb, A.M.1    Osman, H.2    Abbas, A.M.3    Elkaffas, S.M.4
  • 5
    • 33744759890 scopus 로고    scopus 로고
    • A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter
    • Choi, M. (2006). A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter. IEEE Transactions on Geoscience and Remote Sensing, 44(6), 1672–1682. doi:10.1109/TGRS.2006.869923.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.6 , pp. 1672-1682
    • Choi, M.1
  • 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. (2004). A fast intensity–hue–saturation fusion technique with spectral adjustment for IKONOS imagery. IEEE Geoscience and Remote Sensing Letters, 1(4), 309–312. doi:10.1109/LGRS.2004.834804.
    • (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. U.S. Patent 6 011 875, Tech. Rep
    • Laben, C. A., & Brower, B. V. (2000). Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. U.S. Patent 6 011 875, Tech. Rep., Eastman Kodak Company.
    • (2000) Eastman Kodak Company
    • Laben, C.A.1    Brower, B.V.2
  • 8
    • 84901704344 scopus 로고    scopus 로고
    • Study on the hyperspectral image fusion based on the Gram Schmidt improved algorithm
    • Huang, F. H., & Yan, L. M. (2013). Study on the hyperspectral image fusion based on the Gram Schmidt improved algorithm. Information Technology Journal, 12(22), 6694–6701. doi:10.3923/itj.2013.6694.6701.
    • (2013) Information Technology Journal , vol.12 , Issue.22 , pp. 6694-6701
    • Huang, F.H.1    Yan, L.M.2
  • 9
    • 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. (1991). Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic. Photogrammetric Engineering and Remote Sensing, 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
  • 11
    • 33845611024 scopus 로고    scopus 로고
    • Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion
    • Pradhan, P. S., King, R. L., & Younan, N. H. (2006). Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion. IEEE Transactions on Geoscience and Remote Sensing, 44(12), 3674–3686. doi:10.1109/TGRS.2006.881758.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.12 , pp. 3674-3686
    • Pradhan, P.S.1    King, R.L.2    Younan, N.H.3
  • 12
    • 44349099725 scopus 로고    scopus 로고
    • Multisensor remote sensing image fusion using stationary wavelet transform: effects of basis and decomposition level
    • Li, S. (2008). Multisensor remote sensing image fusion using stationary wavelet transform: effects of basis and decomposition level. International Journal of Wavelets, Multiresolution and Information Processing, 6(1), 37–50. doi:10.1142/S0219691308002203.
    • (2008) International Journal of Wavelets, Multiresolution and Information Processing , vol.6 , Issue.1 , pp. 37-50
    • Li, S.1
  • 14
    • 53349153427 scopus 로고    scopus 로고
    • Remote sensing image fusion using multiscale mapped LS-SVM
    • Zheng, S., Shi, W., & Liu, J. (2008). Remote sensing image fusion using multiscale mapped LS-SVM. IEEE Transactions on Geoscience and Remote Sensing, 46(5), 1313–1322. doi:10.1109/TGRS.2007.912737.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1313-1322
    • Zheng, S.1    Shi, W.2    Liu, J.3
  • 15
    • 84930359314 scopus 로고    scopus 로고
    • Multispectral and panchromatic image fusion based on improved projected gradient NMF in NSST domain
    • Wu, Y. Q., & Tao, F. X. (2015). Multispectral and panchromatic image fusion based on improved projected gradient NMF in NSST domain. Acta Optica Sinica, 35(4), 0410005. doi:10.3788/aos201535.0410005.
    • (2015) Acta Optica Sinica , vol.35 , Issue.4 , pp. 0410005
    • Wu, Y.Q.1    Tao, F.X.2
  • 16
    • 27844607355 scopus 로고    scopus 로고
    • Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods
    • Otazu, X., González-Audícana, M., & Fors, O. (2005). Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods. IEEE Transactions on Geoscience and Remote Sensing, 43(10), 2376–2385. doi:10.1109/TGRS.2005.856106.
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.10 , pp. 2376-2385
    • Otazu, X.1    González-Audícana, M.2    Fors, O.3
  • 17
    • 53349157432 scopus 로고    scopus 로고
    • An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets
    • Shah, V. P., Younan, N. H., & King, R. L. (2008). An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets. IEEE Transactions on Geoscience and Remote Sensing, 46(5), 1323–1335. doi:10.1109/TGRS.2005.856106.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1323-1335
    • Shah, V.P.1    Younan, N.H.2    King, R.L.3
  • 18
    • 84948663326 scopus 로고    scopus 로고
    • Remote sensing image fusion method based on nonsubsampled shearlet transform and sparse representation
    • Moonon, A. U., Hu, J. W., & Li, S. T. (2015). Remote sensing image fusion method based on nonsubsampled shearlet transform and sparse representation. Sensing and Imaging. doi:10.1007/s11220-015-0125-0.
    • (2015) Sensing and Imaging
    • Moonon, A.U.1    Hu, J.W.2    Li, S.T.3
  • 19
    • 84886685724 scopus 로고    scopus 로고
    • Construction method of three-channel non-separable symmetric wavelets with arbitrary dilation matrices and its applications in multispectral image fusion
    • Liu, B., Li, K., & Liu, W. (2013). Construction method of three-channel non-separable symmetric wavelets with arbitrary dilation matrices and its applications in multispectral image fusion. Image Processing, IET, 7(7), 679–685. doi:10.1049/iet-ipr.2013.0085.
    • (2013) Image Processing, IET , vol.7 , Issue.7 , pp. 679-685
    • Liu, B.1    Li, K.2    Liu, W.3
  • 20
    • 84906484697 scopus 로고    scopus 로고
    • Dong, C., Loy, C. C., He, K.M., & Tang, X. O.Learning a deep convolutional network for image super-resolution. In Proceedings of the 13th European conference on computer vision, 6–12 Sept 2014 (Vol. 8692, pp. 184–199)
    • Dong, C., Loy, C. C., He, K.M., & Tang, X. O. (2014). Learning a deep convolutional network for image super-resolution. In Proceedings of the 13th European conference on computer vision, 6–12 Sept 2014 (Vol. 8692, pp. 184–199). doi: 10.1007/978-3-319-10593-2_13.
    • (2014)
  • 21
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278–2324. doi:10.1109/5.726791.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 22
    • 84890812360 scopus 로고    scopus 로고
    • A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
    • Zhou, X. R., Liu, J., Liu, S. G., Cao, L., Zhou, Q. M., & Huang, H. W. (2014). A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation. ISPRS Journal of Photogrammetry and Remote Sensing., 88, 16–27. doi:10.1016/j.isprsjprs.2013.11.011.
    • (2014) ISPRS Journal of Photogrammetry and Remote Sensing. , vol.88 , pp. 16-27
    • Zhou, X.R.1    Liu, J.2    Liu, S.G.3    Cao, L.4    Zhou, Q.M.5    Huang, H.W.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.