메뉴 건너뛰기




Volumn 8, Issue 3, 2016, Pages

Potential of resolution-enhanced hyperspectral data for mineral mapping using simulated EnMAP and Sentinel-2 images

Author keywords

EnMAP; Image fusion; Mineral mapping; Sentinel 2

Indexed keywords

FACTORIZATION; IMAGE FUSION; MAPPING; MINERALS; SPECTROSCOPY;

EID: 84962520929     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8030172     Document Type: Article
Times cited : (132)

References (51)
  • 1
    • 0021892045 scopus 로고
    • Imaging spectrometry for earth remote sensing
    • Goetz, A.F.H.; Vane, G.; Solomon, J.E.; Rock, B.N. Imaging spectrometry for earth remote sensing. Science 1985, 228, 1147-1153.
    • (1985) Science , vol.228 , pp. 1147-1153
    • Goetz, A.F.H.1    Vane, G.2    Solomon, J.E.3    Rock, B.N.4
  • 2
    • 0027338790 scopus 로고
    • Terrestrial imaging spectrometry: Current status, future trends
    • Vane, G.; Goetz, A.F.H. Terrestrial imaging spectrometry: Current status, future trends. Remote Sens. Environ. 1993, 44, 117-126.
    • (1993) Remote Sens. Environ , vol.44 , pp. 117-126
    • Vane, G.1    Goetz, A.F.H.2
  • 3
    • 0017480895 scopus 로고
    • Spectral signatures of particulate minerals in the visible and near infrared
    • Hunt, G.R. Spectral signatures of particulate minerals in the visible and near infrared. Geophysics 1977, 42, 501-513.
    • (1977) Geophysics , vol.42 , pp. 501-513
    • Hunt, G.R.1
  • 5
    • 0042739634 scopus 로고    scopus 로고
    • Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping
    • Kruse, F.A.; Boardman, J.W.; Huntington, J.F. Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1388-1400.
    • (2003) IEEE Trans. Geosci. Remote Sens , vol.41 , pp. 1388-1400
    • Kruse, F.A.1    Boardman, J.W.2    Huntington, J.F.3
  • 9
    • 84962526505 scopus 로고    scopus 로고
    • Super-resolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline non-rigid transform model
    • Akgun, T.; Altunubasak, Y.; Mersereau, R.M. Super-resolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline non-rigid transform model. IEEE Trans. Geosci. Remote Sens. 2005, 48, 1860-1875.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.48 , pp. 1860-1875
    • Akgun, T.1    Altunubasak, Y.2    Mersereau, R.M.3
  • 11
    • 53349129867 scopus 로고    scopus 로고
    • Integration of spatial-spectral information for resolution enhancement in hyperspectral images
    • Gu, Y.; Zhang, Y.; Zhang, J. Integration of spatial-spectral information for resolution enhancement in hyperspectral images. IEEE Trans. Geosci. Remote Sens. 2008, 46, 1347-1358.
    • (2008) IEEE Trans. Geosci. Remote Sens , vol.46 , pp. 1347-1358
    • Gu, Y.1    Zhang, Y.2    Zhang, J.3
  • 12
    • 79151469566 scopus 로고    scopus 로고
    • Band-subset-based clustering and fusion for hyperspectral imagery classification
    • Zhao, Y.; Zhang, L.; Kong, S.G. Band-subset-based clustering and fusion for hyperspectral imagery classification. IEEE Trans. Geosci. Remote Sens. 2011, 49, 747-756.
    • (2011) IEEE Trans. Geosci. Remote Sens , vol.49 , pp. 747-756
    • Zhao, Y.1    Zhang, L.2    Kong, S.G.3
  • 15
    • 4344583032 scopus 로고    scopus 로고
    • MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor
    • Hardie, R.C.; Eismann, M.T.; Wilson, G.L. MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor. IEEE Trans. Image Process. 2004, 13, 1174-1184.
    • (2004) IEEE Trans. Image Process , vol.13 , pp. 1174-1184
    • Hardie, R.C.1    Eismann, M.T.2    Wilson, G.L.3
  • 16
    • 4744347712 scopus 로고    scopus 로고
    • Application of the stochastic mixing model to hyperspectral resolution enhancement
    • Eismann, M.T.; Hardie, R.C. Application of the stochastic mixing model to hyperspectral resolution enhancement. IEEE Trans. Geosci. Remote Sens. 2004, 42, 1924-1933.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , pp. 1924-1933
    • Eismann, M.T.1    Hardie, R.C.2
  • 17
    • 70350662759 scopus 로고    scopus 로고
    • Noise-resistant wavelet based Bayesian fusion of multispectral and hyperspectral images
    • Zhang, Y.; Backer, S.D.; Scheunders, P. Noise-resistant wavelet based Bayesian fusion of multispectral and hyperspectral images. IEEE Trans. Geosci. Remote Sens. 2009, 47, 3834-3843.
    • (2009) IEEE Trans. Geosci. Remote Sens , vol.47 , pp. 3834-3843
    • Zhang, Y.1    Backer, S.D.2    Scheunders, P.3
  • 18
    • 84856329450 scopus 로고    scopus 로고
    • Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion
    • Yokoya, N.; Yairi, T.; Iwasaki, A. Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion. IEEE Trans. Geosci. Remote Sens. 2012, 50, 528-537.
    • (2012) IEEE Trans. Geosci. Remote Sens , vol.50 , pp. 528-537
    • Yokoya, N.1    Yairi, T.2    Iwasaki, A.3
  • 21
    • 85027944334 scopus 로고    scopus 로고
    • A convex formulation for hyperspectral image superresolution via subspace-based regularization
    • Simoes, M.; Bioucas-Dias, J.M.; Almeida, L.; Chanussot, J. A convex formulation for hyperspectral image superresolution via subspace-based regularization. IEEE Trans. Geosci. Remote Sens. 2015, 53, 3373-3388.
    • (2015) IEEE Trans. Geosci. Remote Sens , vol.53 , pp. 3373-3388
    • Simoes, M.1    Bioucas-Dias, J.M.2    Almeida, L.3    Chanussot, J.4
  • 23
    • 84897027199 scopus 로고    scopus 로고
    • Fusion of hyperspectral and multispectral images: A novel framework based on generalization of pan-sharpening methods
    • Chen, Z.; Pu, H.;Wang, B.; Jiang, G.-M. Fusion of hyperspectral and multispectral images: A novel framework based on generalization of pan-sharpening methods. IEEE Geosci. Remote Sens. Lett. 2014, 11, 1418-1422.
    • (2014) IEEE Geosci. Remote Sens. Lett , vol.11 , pp. 1418-1422
    • Chen, Z.1    Pu, H.2    Wang, B.3    Jiang, G.-M.4
  • 26
    • 67651151076 scopus 로고    scopus 로고
    • Simulation of optical remote sensing scenes with application to the EnMAP hyperspectral mission
    • Guanter, L.; Segl, K.; Kaufmann, H. Simulation of optical remote sensing scenes with application to the EnMAP hyperspectral mission. IEEE Trans. Geosci. Remote Sens. 2009, 47, 2340-2351.
    • (2009) IEEE Trans. Geosci. Remote Sens , vol.47 , pp. 2340-2351
    • Guanter, L.1    Segl, K.2    Kaufmann, H.3
  • 27
    • 77953873721 scopus 로고    scopus 로고
    • Simulation of spatial sensor characteristics in the context of the EnMAP hyperspectral mission
    • Segl, K.; Guanter, L.; Kaufmann, H. Simulation of spatial sensor characteristics in the context of the EnMAP hyperspectral mission. IEEE Trans. Geosci. Remote Sens. 2010, 48, 3046-3054.
    • (2010) IEEE Trans. Geosci. Remote Sens , vol.48 , pp. 3046-3054
    • Segl, K.1    Guanter, L.2    Kaufmann, H.3
  • 30
    • 0034864758 scopus 로고    scopus 로고
    • Wavelet-based hyperspectral and multi-spectral image fusion
    • Gomez, G.; Jazaeri, A.; Kafatos, M. Wavelet-based hyperspectral and multi-spectral image fusion. Proc. SPIE 2001
    • (2001) Proc. SPIE
    • Gomez, G.1    Jazaeri, A.2    Kafatos, M.3
  • 31
    • 33947362930 scopus 로고    scopus 로고
    • Multi-spectral and hyperspectral image fusion using 3-D wavelet transform
    • Zhang, Y.; He, M. Multi-spectral and hyperspectral image fusion using 3-D wavelet transform. J. Electron. 2007, 24, 218-224.
    • (2007) J. Electron , vol.24 , pp. 218-224
    • Zhang, Y.1    He, M.2
  • 34
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by nonnegative matrix factorization
    • Lee, D.D.; Seung, H.S. Learning the parts of objects by nonnegative matrix factorization. Nature 1999, 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 36
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • Nascimento, J.M.P.; Bioucas-Dias, J.M. Vertex component analysis: A fast algorithm to unmix hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2005, 43, 898-910.
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , pp. 898-910
    • Nascimento, J.M.P.1    Bioucas-Dias, J.M.2
  • 37
    • 57049170860 scopus 로고    scopus 로고
    • Use of HyMap imaging spectrometer data to map mineralogy in the Rodalquilar caldera, southeast Spain
    • Bedini, E.; Van der Meer, F.; Van Ruitenbeek, F. Use of HyMap imaging spectrometer data to map mineralogy in the Rodalquilar caldera, southeast Spain. Int. J. Remote Sens. 2009, 30, 327-348.
    • (2009) Int. J. Remote Sens , vol.30 , pp. 327-348
    • Bedini, E.1    Van der Meer, F.2    Van Ruitenbeek, F.3
  • 39
    • 65049091833 scopus 로고    scopus 로고
    • Improving component substitution pansharpening through multivariate regression of MS+Pan data
    • Aiazzi, B.; Baronti, S.; Selva, M. Improving component substitution pansharpening through multivariate regression of MS+Pan data. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3230-3239.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , pp. 3230-3239
    • Aiazzi, B.1    Baronti, S.2    Selva, M.3
  • 41
    • 3042562616 scopus 로고    scopus 로고
    • Quality of high resolution synthesized images: Is there a simple criterion?
    • Sophia Antipolis, France, 26-28 January 2000
    • Wald, L. Quality of high resolution synthesized images: Is there a simple criterion? In Proceedings of the Third Conference "Fusion of Earth Data", Sophia Antipolis, France, 26-28 January 2000; pp. 99-105.
    • Proceedings of the Third Conference "Fusion of Earth Data" , pp. 99-105
    • Wald, L.1
  • 42
    • 0000612148 scopus 로고
    • Material absorption band depth mapping of imaging spectrometer data using a complete band shape least-squares fit with library reference spectra
    • Pasadena, CA, USA, 4-5 June
    • Clark, R.N.; Gallagher, A.J.; Swayze, G.A. Material absorption band depth mapping of imaging spectrometer data using a complete band shape least-squares fit with library reference spectra. In Proceedings of the Second Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, Pasadena, CA, USA, 4-5 June 1990; pp. 176-186.
    • (1990) Proceedings of the Second Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop , pp. 176-186
    • Clark, R.N.1    Gallagher, A.J.2    Swayze, G.A.3
  • 43
    • 0019679586 scopus 로고
    • Near-infrared spectral reflectance of mineral mixtures: Systematic combinations of pyroxenes, olivine, and iron oxides
    • Singer, R.B. Near-infrared spectral reflectance of mineral mixtures: Systematic combinations of pyroxenes, olivine, and iron oxides. J. Geophys. Res. 1981, 86, 7967-7982.
    • (1981) J. Geophys. Res , vol.86 , pp. 7967-7982
    • Singer, R.B.1
  • 44
    • 0021644332 scopus 로고
    • Reflectance spectroscopy-quantitative analysis techniques for remote-sensing applications
    • Clark, R.N.; Roush, T.L. Reflectance spectroscopy-quantitative analysis techniques for remote-sensing applications. J. Geophys. Res. 1984, 89, 6329-6340.
    • (1984) J. Geophys. Res , vol.89 , pp. 6329-6340
    • Clark, R.N.1    Roush, T.L.2
  • 45
    • 0001395470 scopus 로고
    • Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site
    • Adams, J.B.; Smith, M.O.; Johnson, P.E. Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site. J. Geophys. Res. 1986, 91, 8098-8112.
    • (1986) J. Geophys. Res , vol.91 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2    Johnson, P.E.3
  • 46
    • 0032156917 scopus 로고    scopus 로고
    • Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models
    • Roberts, D.A.; Gadner, M.; Church, R.; Ustin, S.; Scheer, G.; Green, O.R. Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models. Remote Sens. Environ. 1998, 65, 267-279.
    • (1998) Remote Sens. Environ , vol.65 , pp. 267-279
    • Roberts, D.A.1    Gadner, M.2    Church, R.3    Ustin, S.4    Scheer, G.5    Green, O.R.6
  • 49
    • 84962529617 scopus 로고    scopus 로고
    • NASA mission to measure global plant physiology and functional types
    • Big Sky, MT, USA, 1-8 March
    • Green, R.; Asner, G.; Ungar, S.; Knox, R. NASA mission to measure global plant physiology and functional types. In Proceedings of the Aerospace Conference, Big Sky, MT, USA, 1-8 March 2008; pp. 1-7.
    • (2008) Proceedings of the Aerospace Conference , pp. 1-7
    • Green, R.1    Asner, G.2    Ungar, S.3    Knox, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.