메뉴 건너뛰기




Volumn 6, Issue 1, 2015, Pages 3-21

Structuring contemporary remote sensing image fusion

Author keywords

algorithms; data fusion; image fusion; multi sensor classification; remote sensing

Indexed keywords

ALGORITHMS; DATA FUSION; IMAGE ENHANCEMENT; RADAR IMAGING; REMOTE SENSING; SENSOR DATA FUSION; TRACKING RADAR;

EID: 84924183406     PISSN: 19479832     EISSN: 19479824     Source Type: Journal    
DOI: 10.1080/19479832.2014.998727     Document Type: Review
Times cited : (43)

References (90)
  • 1
    • 84902493863 scopus 로고    scopus 로고
    • A comparative data-fusion analysis of multi-sensor satellite images
    • Abdikan, S., et al., 2012. A comparative data-fusion analysis of multi-sensor satellite images. International Journal of Digital Earth, 7 (8), 671–687.
    • (2012) International Journal of Digital Earth , vol.7 , Issue.8 , pp. 671-687
    • Abdikan, S.1
  • 2
    • 84944877330 scopus 로고    scopus 로고
    • An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas
    • 2nd GRSS/ISPRS joint workshop on remote sensing and data fusion over urban areas,, May
    • Aiazzi, B., et al., 2003. An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas. In: 2nd GRSS/ISPRS joint workshop on remote sensing and data fusion over urban areas, 22–23May, Berlin, 90–94.
    • (2003) , pp. 90-94
    • Aiazzi, B.1
  • 3
    • 34948870440 scopus 로고    scopus 로고
    • Enhanced Gram-schmidt spectral sharpening based on multivariate regression of MS and pan data
    • IEEE international conference on geoscience and remote sensing symposium, IGARSS 2006
    • Aiazzi, B., et al., 2006. Enhanced Gram-schmidt spectral sharpening based on multivariate regression of MS and pan data. In: IEEE international conference on geoscience and remote sensing symposium, IGARSS 2006, 31 July–4 August, Denver, CO, 3806–3809.
    • (2006) , pp. 3806-3809
    • Aiazzi, B.1
  • 4
    • 0036821708 scopus 로고    scopus 로고
    • Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis
    • Aiazzi, B., et al., 2002. Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis. IEEE Transactions on Geoscience and Remote Sensing, 40 (10), 2300–2312. doi:10.1109/TGRS.2002.803623
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.10 , pp. 2300-2312
    • Aiazzi, B.1
  • 5
    • 65049086239 scopus 로고    scopus 로고
    • A comparison between global and context-adaptive pansharpening of multispectral images
    • Aiazzi, B., et al., 2009. A comparison between global and context-adaptive pansharpening of multispectral images. IEEE Geoscience and Remote Sensing Letters, 6 (2), 302–306. doi:10.1109/LGRS.2008.2012003
    • (2009) IEEE Geoscience and Remote Sensing Letters , vol.6 , Issue.2 , pp. 302-306
    • Aiazzi, B.1
  • 6
    • 10944267227 scopus 로고    scopus 로고
    • Landsat ETM+ and SAR image fusion based on generalized intensity modulation
    • Alparone, L., et al., 2004. Landsat ETM+ and SAR image fusion based on generalized intensity modulation. IEEE Transactions onGeoscience and Remote Sensing, 42 (12), 2832–2839. doi:10.1109/TGRS.2004.838344
    • (2004) IEEE Transactions onGeoscience and Remote Sensing , vol.42 , Issue.12 , pp. 2832-2839
    • Alparone, L.1
  • 7
    • 37449020710 scopus 로고    scopus 로고
    • Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest
    • Alparone, L., et al., 2007. Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest. IEEE Transactions on Geoscience and Remote Sensing, 45 (10), 3012–3021. doi:10.1109/TGRS.2007.904923
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.10 , pp. 3012-3021
    • Alparone, L.1
  • 8
    • 34548204275 scopus 로고    scopus 로고
    • Wavelet based image fusion techniques — an introduction, review and comparison
    • Amolins, K., Zhang, Y., and Dare, P., 2007. Wavelet based image fusion techniques — an introduction, review and comparison. ISPRS Journal of Photogrammetry and Remote Sensing, 62 (4), 249–263. doi:10.1016/j.isprsjprs.2007.05.009
    • (2007) ISPRS Journal of Photogrammetry and Remote Sensing , vol.62 , Issue.4 , pp. 249-263
    • Amolins, K.1    Zhang, Y.2    Dare, P.3
  • 9
    • 84881009102 scopus 로고    scopus 로고
    • Alternative solutions for determining the spectral band weights for the subtractive resolution merge technique
    • Ashraf, S., Brabyn, L., and Hicks, B.J., 2013. Alternative solutions for determining the spectral band weights for the subtractive resolution merge technique. International Journal of Image and Data Fusion, 4 (2), 105–125. doi:10.1080/19479832.2011.607473
    • (2013) International Journal of Image and Data Fusion , vol.4 , Issue.2 , pp. 105-125
    • Ashraf, S.1    Brabyn, L.2    Hicks, B.J.3
  • 10
    • 33646884617 scopus 로고    scopus 로고
    • A variational model for P+XS image fusion
    • Ballester, C., et al., 2006. A variational model for P+XS image fusion. International Journal of Computer Vision, 69 (1), 43–58. doi:10.1007/s11263-006-6852-x
    • (2006) International Journal of Computer Vision , vol.69 , Issue.1 , pp. 43-58
    • Ballester, C.1
  • 12
    • 84880303834 scopus 로고    scopus 로고
    • Multi-modal and multi-temporal data fusion: outcome of the 2012 GRSS data fusion contest
    • Berger, C., et al., 2013. Multi-modal and multi-temporal data fusion: outcome of the 2012 GRSS data fusion contest. IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing, 6 (3), 1324–1340. doi:10.1109/JSTARS.2013.2245860
    • (2013) IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing , vol.6 , Issue.3 , pp. 1324-1340
    • Berger, C.1
  • 13
  • 14
    • 38949216081 scopus 로고    scopus 로고
    • Pixel level fusion of panchromatic and multispectral images based on correspondence analysis
    • Cakir, H.I. and Khorram, S., 2008. Pixel level fusion of panchromatic and multispectral images based on correspondence analysis. Photogrammetric Engineering and Remote Sensing, 74 (2), 183–192. doi:10.14358/PERS.74.2.183
    • (2008) Photogrammetric Engineering and Remote Sensing , vol.74 , Issue.2 , pp. 183-192
    • Cakir, H.I.1    Khorram, S.2
  • 15
    • 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., and Anderson, I.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, I.A.3
  • 16
    • 0038582536 scopus 로고    scopus 로고
    • Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features
    • Chen, C.-M., Hepner, G.F., and Forster, R.R., 2003. Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features. ISPRS Journal of Photogrammetry and Remote Sensing, 58 (1–2), 19–30. doi:10.1016/S0924-2716(03)00014-5
    • (2003) ISPRS Journal of Photogrammetry and Remote Sensing , vol.58 , Issue.1-2 , pp. 19-30
    • Chen, C.-M.1    Hepner, G.F.2    Forster, R.R.3
  • 17
    • 84863289473 scopus 로고    scopus 로고
    • Scaling between Landsat-7 and SAR images based on ensemble empirical mode decomposition
    • Chen, S., et al., 2012. Scaling between Landsat-7 and SAR images based on ensemble empirical mode decomposition. International Journal of Remote Sensing, 33 (3), 826–835. doi:10.1080/01431161.2011.577833
    • (2012) International Journal of Remote Sensing , vol.33 , Issue.3 , pp. 826-835
    • Chen, S.1
  • 18
    • 84896830111 scopus 로고    scopus 로고
    • Knowledge-based principal component analysis for image fusion
    • Chiang, J.-L., 2014. Knowledge-based principal component analysis for image fusion. Applied Mathematics & Information Sciences, 8 (1L), 223–230. doi:10.12785/amis/081L28
    • (2014) Applied Mathematics & Information Sciences , vol.8 , Issue.1L , pp. 223-230
    • Chiang, J.-L.1
  • 19
    • 34547127146 scopus 로고    scopus 로고
    • Integration of panchromatic and SAR features into multispectral SPOT images using the ‘à trous’ wavelet decomposition
    • Chibani, Y., 2007. Integration of panchromatic and SAR features into multispectral SPOT images using the ‘à trous’ wavelet decomposition. International Journal of Remote Sensing, 28 (10), 2295–2307. doi:10.1080/01431160600606874
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.10 , pp. 2295-2307
    • Chibani, Y.1
  • 20
    • 0037144615 scopus 로고    scopus 로고
    • The joint use of IHS transform and redundant wavelet decomposition for fusing multispectral and panchromatic images
    • Chibani, Y. and Houacine, A., 2002. The joint use of IHS transform and redundant wavelet decomposition for fusing multispectral and panchromatic images. International Journal of Remote Sensing, 23 (18), 3821–3833. doi:10.1080/01431160110107626
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.18 , pp. 3821-3833
    • Chibani, Y.1    Houacine, A.2
  • 21
    • 84903451380 scopus 로고    scopus 로고
    • Resilience against disasters using remote sensing and geoinformation technologies for rapid mapping and information dissemination (RAPIDMAP)
    • 34th Asian conference on remote sensing 2013, ACRS 2013, Bali: Asian Association on Remote Sensing, October
    • Cho, K., et al., 2013. Resilience against disasters using remote sensing and geoinformation technologies for rapid mapping and information dissemination (RAPIDMAP). In: 34th Asian conference on remote sensing 2013, ACRS 2013, 20–24October, Bali. Asian Association on Remote Sensing, 3826–3833.
    • (2013) , pp. 3826-3833
    • Cho, K.1
  • 22
    • 84870516587 scopus 로고    scopus 로고
    • Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality
    • Choi, J., et al., 2013. Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality. IEEE Geoscience and Remote Sensing Letters, 10 (3), 490–494. doi:10.1109/LGRS.2012.2210857
    • (2013) IEEE Geoscience and Remote Sensing Letters , vol.10 , Issue.3 , pp. 490-494
    • Choi, J.1
  • 23
    • 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
  • 24
    • 84905908690 scopus 로고    scopus 로고
    • Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress
    • Delalieux, S., et al., 2014. Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (6), 2571–2582. doi:10.1109/JSTARS.2014.2330352
    • (2014) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.7 , Issue.6 , pp. 2571-2582
    • Delalieux, S.1
  • 25
    • 48249085703 scopus 로고    scopus 로고
    • PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data
    • Deng, J.S., et al., 2008. PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data. International Journal of Remote Sensing, 29 (16), 4823–4838. doi:10.1080/01431160801950162
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.16 , pp. 4823-4838
    • Deng, J.S.1
  • 26
    • 84903393691 scopus 로고    scopus 로고
    • A nonlocal variational model for pansharpening image fusion
    • Duran, J., et al., 2014. A nonlocal variational model for pansharpening image fusion. SIAM Journal on Imaging Sciences, 7 (2), 761–796. doi:10.1137/130928625
    • (2014) SIAM Journal on Imaging Sciences , vol.7 , Issue.2 , pp. 761-796
    • Duran, J.1
  • 27
    • 79551508297 scopus 로고    scopus 로고
    • Multi-sensor image fusion for pansharpening in remote sensing
    • Ehlers, M., et al., 2010a. Multi-sensor image fusion for pansharpening in remote sensing. International Journal of Image and Data Fusion, 1 (1), 25–45. doi:10.1080/19479830903561985
    • (2010) International Journal of Image and Data Fusion , vol.1 , Issue.1 , pp. 25-45
    • Ehlers, M.1
  • 28
    • 79551508297 scopus 로고    scopus 로고
    • Multi-sensor image fusion for pansharpening in remote sensing
    • Ehlers, M., et al., 2010b. Multi-sensor image fusion for pansharpening in remote sensing. International Journal of Image and Data Fusion, 1 (1), 25–45. doi:10.1080/19479830903561985
    • (2010) International Journal of Image and Data Fusion , vol.1 , Issue.1 , pp. 25-45
    • Ehlers, M.1
  • 30
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance
    • Gao, F., et al., 2006. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance. IEEE Transactions onGeoscience and Remote Sensing, 44 (8), 2207–2218. doi:10.1109/TGRS.2006.872081
    • (2006) IEEE Transactions onGeoscience and Remote Sensing , vol.44 , Issue.8 , pp. 2207-2218
    • Gao, F.1
  • 31
    • 17444400044 scopus 로고    scopus 로고
    • Interband structure modeling for Pan-sharpening of very high-resolution multispectral images
    • Garzelli, A. and Nencini, F., 2005. Interband structure modeling for Pan-sharpening of very high-resolution multispectral images. Information Fusion, 6 (3), 213–224. doi:10.1016/j.inffus.2004.06.008
    • (2005) Information Fusion , vol.6 , Issue.3 , pp. 213-224
    • Garzelli, A.1    Nencini, F.2
  • 32
    • 84924097245 scopus 로고    scopus 로고
    • Combing hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications
    • Lund University
    • Gevaert, C., 2014. Combing hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications. Thesis (MSc). Lund University.
    • (2014) Thesis (MSc)
    • Gevaert, C.1
  • 33
    • 84879194969 scopus 로고    scopus 로고
    • A review of potential image fusion methods for remote sensing-based irrigation management: part II
    • Ha, W., Gowda, P.H., and Howell, T.A., 2013. A review of potential image fusion methods for remote sensing-based irrigation management: part II. Irrigation Science, 31 (4), 851–869. doi:10.1007/s00271-012-0340-6
    • (2013) Irrigation Science , vol.31 , Issue.4 , pp. 851-869
    • Ha, W.1    Gowda, P.H.2    Howell, T.A.3
  • 34
    • 67349083870 scopus 로고    scopus 로고
    • A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
    • Hilker, T., et al., 2009. A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS. Remote Sensing of Environment, 113 (8), 1613–1627. doi:10.1016/j.rse.2009.03.007
    • (2009) Remote Sensing of Environment , vol.113 , Issue.8 , pp. 1613-1627
    • Hilker, T.1
  • 35
    • 70350564074 scopus 로고    scopus 로고
    • A wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images
    • Hong, G., Zhang, Y., and Mercer, B., 2009. A wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images. Photogrammetric Engineering & Remote Sensing, 75 (10), 1213–1223. doi:10.14358/PERS.75.10.1213
    • (2009) Photogrammetric Engineering & Remote Sensing , vol.75 , Issue.10 , pp. 1213-1223
    • Hong, G.1    Zhang, Y.2    Mercer, B.3
  • 36
    • 85008814963 scopus 로고    scopus 로고
    • Unified fusion of remote-sensing imagery: generating simultaneously high-resolution synthetic spatial–temporal–spectral earth observations
    • Huang, B., et al., 2013. Unified fusion of remote-sensing imagery: generating simultaneously high-resolution synthetic spatial–temporal–spectral earth observations. Remote Sensing Letters, 4 (6), 561–569. doi:10.1080/2150704X.2013.769283
    • (2013) Remote Sensing Letters , vol.4 , Issue.6 , pp. 561-569
    • Huang, B.1
  • 38
    • 38349186903 scopus 로고    scopus 로고
    • Indusion: fusion of multispectral and panchromatic images using the induction scaling technique
    • Khan, M.M., et al., 2008. Indusion: fusion of multispectral and panchromatic images using the induction scaling technique. IEEEGeoscience and Remote Sensing Letters, 5 (1), 98–102. doi:10.1109/LGRS.2007.909934
    • (2008) IEEEGeoscience and Remote Sensing Letters , vol.5 , Issue.1 , pp. 98-102
    • Khan, M.M.1
  • 39
    • 79958700061 scopus 로고    scopus 로고
    • Comparison of pansharpening algorithms for combining radar and multispectral data
    • XXI ISPRS congress, Beijing. ISPRS: July
    • Klonus, S. 2008. Comparison of pansharpening algorithms for combining radar and multispectral data. In: XXI ISPRS congress, 3–11July, Beijing. ISPRS, 189–194.
    • (2008) , pp. 189-194
    • Klonus, S.1
  • 40
    • 34247509383 scopus 로고    scopus 로고
    • Image fusion using the Ehlers spectral characteristics preservation algorithm
    • Klonus, S. and Ehlers, M., 2007. Image fusion using the Ehlers spectral characteristics preservation algorithm. GIScience & Remote Sensing, 44 (2), 93–116. doi:10.2747/1548-1603.44.2.93
    • (2007) GIScience & Remote Sensing , vol.44 , Issue.2 , pp. 93-116
    • Klonus, S.1    Ehlers, M.2
  • 42
    • 84884531371 scopus 로고    scopus 로고
    • Novel image fusion method based on adaptive pulse coupled neural network and discrete multi-parameter fractional random transform
    • Lang, J. and Hao, Z., 2014. Novel image fusion method based on adaptive pulse coupled neural network and discrete multi-parameter fractional random transform. Optics and Lasers in Engineering, 52 (1), 91–98. doi:10.1016/j.optlaseng.2013.07.005
    • (2014) Optics and Lasers in Engineering , vol.52 , Issue.1 , pp. 91-98
    • Lang, J.1    Hao, Z.2
  • 43
    • 84890982864 scopus 로고    scopus 로고
    • An improved adaptive intensity–hue–saturation method for the fusion of remote sensing images
    • Leung, Y., Liu, J., and Zhang, J., 2014. An improved adaptive intensity–hue–saturation method for the fusion of remote sensing images. IEEE Geoscience and Remote Sensing Letters, 11 (5), 985–989. doi:10.1109/LGRS.2013.2284282
    • (2014) IEEE Geoscience and Remote Sensing Letters , vol.11 , Issue.5 , pp. 985-989
    • Leung, Y.1    Liu, J.2    Zhang, J.3
  • 44
    • 84883814326 scopus 로고    scopus 로고
    • Remote sensing image fusion via sparse representations over learned dictionaries
    • Li, S., Yin, H., and Fang, L., 2013. Remote sensing image fusion via sparse representations over learned dictionaries. IEEE Transactions on Geoscience and Remote Sensing, 51 (9), 4779–4789. doi:10.1109/TGRS.2012.2230332
    • (2013) IEEE Transactions on Geoscience and Remote Sensing , vol.51 , Issue.9 , pp. 4779-4789
    • Li, S.1    Yin, H.2    Fang, L.3
  • 45
    • 0034521444 scopus 로고    scopus 로고
    • Smoothing Filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details
    • Liu, J.G., 2000. Smoothing Filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details. International Journal of Remote Sensing, 21 (18), 3461–3472. doi:10.1080/014311600750037499
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.18 , pp. 3461-3472
    • Liu, J.G.1
  • 46
    • 33846565427 scopus 로고    scopus 로고
    • Hue adjustment to IHS Pan-Sharpened IKONOS imagery for vegetation enhancement
    • Malpica, J.A., 2007. Hue adjustment to IHS Pan-Sharpened IKONOS imagery for vegetation enhancement. IEEEGeoscience and Remote Sensing Letters, 4 (1), 27–31. doi:10.1109/LGRS.2006.883523
    • (2007) IEEEGeoscience and Remote Sensing Letters , vol.4 , Issue.1 , pp. 27-31
    • Malpica, J.A.1
  • 47
    • 84896872781 scopus 로고    scopus 로고
    • Efficient pan-sharpening of satellite images with the contourlet transform
    • Metwalli, M.R., et al., 2014. Efficient pan-sharpening of satellite images with the contourlet transform. International Journal of Remote Sensing, 35 (5), 1979–2002. doi:10.1080/01431161.2013.873832
    • (2014) International Journal of Remote Sensing , vol.35 , Issue.5 , pp. 1979-2002
    • Metwalli, M.R.1
  • 48
    • 0032639917 scopus 로고    scopus 로고
    • Multiresolution-based image fusion with additive wavelet decomposition
    • Nunez, J., et al., 1999. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Transactions on Geoscience and Remote Sensing, 37 (3), 1204–1211. doi:10.1109/36.763274
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.3 , pp. 1204-1211
    • Nunez, J.1
  • 49
    • 27844607355 scopus 로고    scopus 로고
    • Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods
    • Otazu, X., et al., 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
  • 50
    • 84868514378 scopus 로고    scopus 로고
    • Worldview-2 Pan-sharpening
    • ASPRS Annual Conference, San Diego, CA
    • Padwick, C., et al., Worldview-2 Pan-sharpening. In: ASPRS Annual Conference, 2010 San Diego, CA.
    • (2010)
    • Padwick, C.1
  • 52
    • 84887452275 scopus 로고    scopus 로고
    • Fast, simple, and good pan-sharpening method
    • Palubinskas, G., 2013. Fast, simple, and good pan-sharpening method. Journal of Applied Remote Sensing, 7 (1), 073526. doi:10.1117/1.JRS.7.073526
    • (2013) Journal of Applied Remote Sensing , vol.7 , Issue.1 , pp. 073526
    • Palubinskas, G.1
  • 53
    • 79957636939 scopus 로고    scopus 로고
    • Multi-resolution, multi-sensor image fusion: general fusion framework
    • 2011 Joint urban remote sensing event (JURSE), April
    • Palubinskas, G. and Reinartz, P. 2011. Multi-resolution, multi-sensor image fusion: general fusion framework. In: 2011 Joint urban remote sensing event (JURSE), 11–13April, Munich. IEEE, 313–316.
    • (2011) , pp. 313-316
    • Palubinskas, G.1    Reinartz, P.2
  • 54
    • 79951839192 scopus 로고    scopus 로고
    • Image acquisition geometry analysis for the fusion of optical and radar remote sensing data
    • Palubinskas, G., Reinartz, P., and Bamler, R., 2010. Image acquisition geometry analysis for the fusion of optical and radar remote sensing data. International Journal of Image and Data Fusion, 1 (3), 271–282. doi:10.1080/19479832.2010.484152
    • (2010) International Journal of Image and Data Fusion , vol.1 , Issue.3 , pp. 271-282
    • Palubinskas, G.1    Reinartz, P.2    Bamler, R.3
  • 55
    • 0032030026 scopus 로고    scopus 로고
    • Review article multisensor image fusion in remote sensing: concepts, methods and applications
    • Pohl, C. and Van Genderen, J., 1998. Review article multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing, 19 (5), 823–854. doi:10.1080/014311698215748
    • (1998) International Journal of Remote Sensing , vol.19 , Issue.5 , pp. 823-854
    • Pohl, C.1    Van Genderen, J.2
  • 56
    • 84895903427 scopus 로고    scopus 로고
    • Remote sensing image fusion: an update in the context of Digital Earth
    • Pohl, C. and Van Genderen, J., 2014. Remote sensing image fusion: an update in the context of Digital Earth. International Journal of Digital Earth, 7 (2), 158–172. doi:10.1080/17538947.2013.869266
    • (2014) International Journal of Digital Earth , vol.7 , Issue.2 , pp. 158-172
    • Pohl, C.1    Van Genderen, J.2
  • 57
    • 77957998824 scopus 로고    scopus 로고
    • An adaptive IHS Pan-Sharpening method
    • Rahmani, S., et al., 2010. An adaptive IHS Pan-Sharpening method. IEEEGeoscience and Remote Sensing Letters, 7 (4), 746–750. doi:10.1109/LGRS.2010.2046715
    • (2010) IEEEGeoscience and Remote Sensing Letters , vol.7 , Issue.4 , pp. 746-750
    • Rahmani, S.1
  • 58
    • 0038582537 scopus 로고    scopus 로고
    • Image fusion—the ARSIS concept and some successful implementation schemes
    • Ranchin, T., et al., 2003. Image fusion—the ARSIS concept and some successful implementation schemes. ISPRS Journal ofPhotogrammetry and Remote Sensing, 58, 4–18. doi:10.1016/S0924-2716(03)00013-3
    • (2003) ISPRS Journal ofPhotogrammetry and Remote Sensing , vol.58 , pp. 4-18
    • Ranchin, T.1
  • 59
    • 0033982849 scopus 로고    scopus 로고
    • Fusion of high spatial and spectral resolution images: the ARSlS concept and its implementation
    • Ranchin, T. and Wald, L., 2000. Fusion of high spatial and spectral resolution images: the ARSlS concept and its implementation. Photogrammetric Engineering & Remote Sensing, 66 (1), 4–18.
    • (2000) Photogrammetric Engineering & Remote Sensing , vol.66 , Issue.1 , pp. 4-18
    • Ranchin, T.1    Wald, L.2
  • 60
    • 84920677935 scopus 로고    scopus 로고
    • A new approach for surface water change detection: integration of pixel level image fusion and image classification techniques
    • Rokni, K., et al., 2015. A new approach for surface water change detection: integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, 226–234. doi:10.1016/j.jag.2014.08.014
    • (2015) International Journal of Applied Earth Observation and Geoinformation , vol.34 , pp. 226-234
    • Rokni, K.1
  • 61
    • 84910148548 scopus 로고    scopus 로고
    • Pansharpening by exploiting sharpness of the spatial structure
    • Rong, K., et al., 2014. Pansharpening by exploiting sharpness of the spatial structure. International Journal of Remote Sensing, 35 (18), 6662–6673. doi:10.1080/2150704X.2014.960607
    • (2014) International Journal of Remote Sensing , vol.35 , Issue.18 , pp. 6662-6673
    • Rong, K.1
  • 62
    • 0019188480 scopus 로고
    • Reconstruction of multi-spatial, multi-spectral image data using spatial frequency content
    • Schowengerdt, R.A., 1980. Reconstruction of multi-spatial, multi-spectral image data using spatial frequency content. Photogrammetric Engineering & Remote Sensing, 45 (10), 1325–1334.
    • (1980) Photogrammetric Engineering & Remote Sensing , vol.45 , Issue.10 , pp. 1325-1334
    • Schowengerdt, R.A.1
  • 63
    • 84924139977 scopus 로고    scopus 로고
    • Chapter 8 – Image registration and fusion
    • Schowengerdt R.A., (ed), 3rd ed., Burlington, VT: Academic Press
    • Schowengerdt, R.A., 2007. Chapter 8 – Image registration and fusion. In: R.A. Schowengerdt, ed. Remote sensing. 3rd ed. Burlington, VT: Academic Press, 355–385.
    • (2007) Remote sensing , pp. 355-385
    • Schowengerdt, R.A.1
  • 64
    • 53349157432 scopus 로고    scopus 로고
    • An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets
    • Shah, V.P., Younan, N.H., and 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.2008.916211
    • (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
  • 65
    • 84920679852 scopus 로고    scopus 로고
    • The modified IHS method for fusing satellite imagery
    • ASPRS Annual Conference, Anchorage, Alaska:
    • Siddiqui, Y., 2003. The modified IHS method for fusing satellite imagery. In: ASPRS Annual Conference. Anchorage, Alaska.
    • (2003)
    • Siddiqui, Y.1
  • 67
    • 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., et al., 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
  • 68
    • 34247348713 scopus 로고    scopus 로고
    • Best tradeoff for high-resolution image fusion to preserve spatial details and minimize color distortion
    • Tu, T.-M., et al., 2007. Best tradeoff for high-resolution image fusion to preserve spatial details and minimize color distortion. IEEEGeoscience and Remote Sensing Letters, 4 (2), 302–306. doi:10.1109/LGRS.2007.894143
    • (2007) IEEEGeoscience and Remote Sensing Letters , vol.4 , Issue.2 , pp. 302-306
    • Tu, T.-M.1
  • 69
    • 8344221153 scopus 로고    scopus 로고
    • A fast intensity–hue–saturation fusion technique with spectral adjustment for IKONOS imagery
    • Tu, T.-M., et al., 2004. A fast intensity–hue–saturation fusion technique with spectral adjustment for IKONOS imagery. IEEEGeoscience and Remote Sensing Letters, 1 (4), 309–312. doi:10.1109/LGRS.2004.834804
    • (2004) IEEEGeoscience and Remote Sensing Letters , vol.1 , Issue.4 , pp. 309-312
    • Tu, T.-M.1
  • 70
    • 0035458185 scopus 로고    scopus 로고
    • A new look at IHS-like image fusion methods
    • Tu, T.-M., et al., 2001. A new look at IHS-like image fusion methods. Information Fusion, 2 (3), 177–186. doi:10.1016/S1566-2535(01)00036-7
    • (2001) Information Fusion , vol.2 , Issue.3 , pp. 177-186
    • Tu, T.-M.1
  • 71
    • 0033962344 scopus 로고    scopus 로고
    • Multispectral imagery advanced band sharpening study
    • Vrabel, J., 2000. Multispectral imagery advanced band sharpening study. Photogrammetric Engineering & Remote Sensing, 66 (1), 73–79.
    • (2000) Photogrammetric Engineering & Remote Sensing , vol.66 , Issue.1 , pp. 73-79
    • Vrabel, J.1
  • 72
    • 20444450889 scopus 로고    scopus 로고
    • A comparative analysis of image fusion methods
    • Wang, Z., et al., 2005. A comparative analysis of image fusion methods. IEEE Transactions onGeoscience and Remote Sensing, 43 (6), 1391–1402. doi:10.1109/TGRS.2005.846874
    • (2005) IEEE Transactions onGeoscience and Remote Sensing , vol.43 , Issue.6 , pp. 1391-1402
    • Wang, Z.1
  • 74
    • 84902119623 scopus 로고    scopus 로고
    • High-fidelity component substitution pansharpening by the fitting of substitution data
    • Xu, Q., et al., 2014a. High-fidelity component substitution pansharpening by the fitting of substitution data. IEEE Transactions on Geoscience and Remote Sensing, 52 (11), 7380–7392. doi:10.1109/TGRS.2014.2311815
    • (2014) IEEE Transactions on Geoscience and Remote Sensing , vol.52 , Issue.11 , pp. 7380-7392
    • Xu, Q.1
  • 75
    • 84903196264 scopus 로고    scopus 로고
    • Recent advances in pansharpening and key problems in applications
    • Xu, Q., Zhang, Y., and Li, B., 2014b. Recent advances in pansharpening and key problems in applications. International Journal of Image and Data Fusion, 5 (3), 175–195. doi:10.1080/19479832.2014.889227
    • (2014) International Journal of Image and Data Fusion , vol.5 , Issue.3 , pp. 175-195
    • Xu, Q.1    Zhang, Y.2    Li, B.3
  • 76
    • 84906490745 scopus 로고    scopus 로고
    • Pansharpening using regression of classified MS and pan images to reduce color distortion
    • Xu, Q., et al., 2015. Pansharpening using regression of classified MS and pan images to reduce color distortion. IEEE Geoscience and Remote Sensing Letters, 12 (1), 28–32. doi:10.1109/LGRS.2014.2324817
    • (2015) IEEE Geoscience and Remote Sensing Letters , vol.12 , Issue.1 , pp. 28-32
    • Xu, Q.1
  • 77
  • 78
    • 42449115833 scopus 로고    scopus 로고
    • Fusion algorithm for remote sensing images based on nonsubsampled contourlet transform
    • Yang, X.-H. and Jiao, L.-C., 2008. Fusion algorithm for remote sensing images based on nonsubsampled contourlet transform. Acta Automatica Sinica, 34 (3), 274–281. doi:10.3724/SP.J.1004.2008.00274
    • (2008) Acta Automatica Sinica , vol.34 , Issue.3 , pp. 274-281
    • Yang, X.-H.1    Jiao, L.-C.2
  • 79
    • 84897749251 scopus 로고    scopus 로고
    • Feasibility of multispectral and synthetic aperture radar image fusion
    • 6th international congress on image and signal processing (CISP), December
    • Yin, N. and Jiang, Q.-G. 2013. Feasibility of multispectral and synthetic aperture radar image fusion. In: 6th international congress on image and signal processing (CISP), 16–18December. Hangzhou: IEEE, 835–839.
    • (2013) , pp. 835-839
    • Yin, N.1    Jiang, Q.-G.2
  • 80
    • 84924207817 scopus 로고    scopus 로고
    • A fusion method of SAR and optical images for urban object extraction
    • Beijing: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    • Yonghong, J. and Blum, R.S., 2008. A fusion method of SAR and optical images for urban object extraction. In: ISPRS ed. ISPRS congress. Beijing: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1–4.
    • (2008) ISPRS congress , pp. 1-4
    • Yonghong, J.1    Blum, R.S.2
  • 81
    • 79551513995 scopus 로고    scopus 로고
    • Multi-source remote sensing data fusion: status and trends
    • Zhang, J., 2010. Multi-source remote sensing data fusion: status and trends. International Journal of Image and Data Fusion, 1 (1), 5–24. doi:10.1080/19479830903561035
    • (2010) International Journal of Image and Data Fusion , vol.1 , Issue.1 , pp. 5-24
    • Zhang, J.1
  • 82
    • 77952638655 scopus 로고    scopus 로고
    • Block-regression based fusion of optical and SAR imagery for feature enhancement
    • Zhang, J., et al., 2010. Block-regression based fusion of optical and SAR imagery for feature enhancement. International Journal of Remote Sensing, 31 (9), 2325–2345. doi:10.1080/01431160902980324
    • (2010) International Journal of Remote Sensing , vol.31 , Issue.9 , pp. 2325-2345
    • Zhang, J.1
  • 83
    • 84860416336 scopus 로고    scopus 로고
    • Fusion of multispectral and panchromatic images based on transferable parameters
    • Zhang, J., Zhang, Y., and Chen, H., 2011. Fusion of multispectral and panchromatic images based on transferable parameters. International Journal of Image and Data Fusion, 2 (3), 191–215. doi:10.1080/19479832.2010.542189
    • (2011) International Journal of Image and Data Fusion , vol.2 , Issue.3 , pp. 191-215
    • Zhang, J.1    Zhang, Y.2    Chen, H.3
  • 84
    • 84867626292 scopus 로고    scopus 로고
    • Maximum local energy method and sum modified Laplacian for remote image fusion based on beyond wavelet transform
    • Zhang, L., et al., 2013a. Maximum local energy method and sum modified Laplacian for remote image fusion based on beyond wavelet transform. International Journal on Applied Mathematics & Information Sciences, 7 (1), 149S–156S.
    • (2013) International Journal on Applied Mathematics & Information Sciences , vol.7 , Issue.1 , pp. 149-156
    • Zhang, L.1
  • 86
    • 84863154954 scopus 로고    scopus 로고
    • Wavelet-based Bayesian fusion of multispectral and hyperspectral images using Gaussian scale mixture model
    • Zhang, Y., 2012. Wavelet-based Bayesian fusion of multispectral and hyperspectral images using Gaussian scale mixture model. International Journal of Image and Data Fusion, 3 (1), 23–37. doi:10.1080/19479832.2010.551522
    • (2012) International Journal of Image and Data Fusion , vol.3 , Issue.1 , pp. 23-37
    • Zhang, Y.1
  • 87
    • 17444367316 scopus 로고    scopus 로고
    • An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images
    • Zhang, Y. and Hong, G., 2005. An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images. Information Fusion, 6 (3), 225–234. doi:10.1016/j.inffus.2004.06.009
    • (2005) Information Fusion , vol.6 , Issue.3 , pp. 225-234
    • Zhang, Y.1    Hong, G.2
  • 88
    • 84896318120 scopus 로고    scopus 로고
    • From UNB PanSharp to Fuze Go – the success behind the pan-sharpening algorithm
    • Zhang, Y. and Mishra, R.K., 2014. From UNB PanSharp to Fuze Go – the success behind the pan-sharpening algorithm. International Journal of Image and Data Fusion, 5 (1), 39–53. doi:10.1080/19479832.2013.848475
    • (2014) International Journal of Image and Data Fusion , vol.5 , Issue.1 , pp. 39-53
    • Zhang, Y.1    Mishra, R.K.2
  • 89
    • 84877693820 scopus 로고    scopus 로고
    • Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization
    • Zhang, Z., Shi, Z., and An, Z., 2013b. Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization. OPTIK – International Journal for Light and Electron Optics, 124 (13), 1601–1608. doi:10.1016/j.ijleo.2012.04.022
    • (2013) OPTIK – International Journal for Light and Electron Optics , vol.124 , Issue.13 , pp. 1601-1608
    • Zhang, Z.1    Shi, Z.2    An, Z.3
  • 90
    • 84890812360 scopus 로고    scopus 로고
    • A GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation
    • Zhou, X., et al., 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.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.