메뉴 건너뛰기




Volumn 7, Issue 1, 2013, Pages

Analysis of end member detection and subpixel classification algorithms on hyperspectral imagery for tropical mangrove species discrimination in the Sunderbans Delta, India

Author keywords

Automated target generation process; Mangrove; N FINDR; Onstrained linear spectral unmixing; Subpixel classification; Unconstrained linear spectral unmixing

Indexed keywords

AUTOMATION; FORESTRY; IMAGE CLASSIFICATION; PIXELS; SPECTROSCOPY; TROPICS;

EID: 84887486290     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.7.073523     Document Type: Article
Times cited : (18)

References (60)
  • 1
    • 26044469832 scopus 로고    scopus 로고
    • Application of remote sensing data to monitor mangroves and other coastal vegetation of India
    • S. Nayek and A. Bahuguna, "Application of remote sensing data to monitor mangroves and other coastal vegetation of India," Indian J. Mar. Sci. 30(4), 195-213 (2001). (Pubitemid 33816863)
    • (2001) Indian Journal of Marine Sciences , vol.30 , Issue.4 , pp. 195-213
    • Nayak, S.1    Bahuguna, A.2
  • 4
    • 25144506808 scopus 로고    scopus 로고
    • Assessment of Hyperion for characterizing mangrove ommunities
    • Wollongong University, Australia
    • M. Demuro and L. Chisholm, "Assessment of Hyperion for characterizing mangrove ommunities," in Proc. of the Int. Conf. of the AVIRIS Workshop, pp. 18-23, Wollongong University, Australia (2003).
    • (2003) Proc. of the Int. Conf. of the AVIRIS Workshop , pp. 18-23
    • Demuro, M.1    Chisholm, L.2
  • 5
    • 84897370953 scopus 로고    scopus 로고
    • Local spatial statistics for remotely sensed image classification of mangrove
    • L. Zhi-Gang et al., "Local spatial statistics for remotely sensed image classification of mangrove," Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci. XXXVII(Pt. B7), 719 (2008).
    • (2008) Int. Arch. Photogramm. Remote Sens. Spatial Inform. Sci , vol.37 , Issue.PART B7 , pp. 719
    • Zhi-Gang, L.1
  • 6
    • 76849090094 scopus 로고    scopus 로고
    • Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping
    • K. Kanniah et al., "Per-pixel and sub-pixel classifications of high-resolution satellite data for mangrove species mapping," Appl. GIS 3(8), 1-22 (2007).
    • (2007) Appl. GIS , vol.3 , Issue.8 , pp. 1-22
    • Kanniah, K.1
  • 7
    • 25144455365 scopus 로고    scopus 로고
    • Tropical mangrove species discrimination using hyperspectral data: A laboratory study
    • DOI 10.1016/j.ecss.2005.06.014, PII S0272771405002179
    • C. Vaiphasa and S. Ongsomwang, "Tropical mangrove species discrimination using hyperspectral data: a laboratory study," Estuar. Coast. Shelf Sci. 65(1-2), 371-379 (2005), http://dx.doi.org/10.1016/j.ecss. 2005.06.014. (Pubitemid 41338151)
    • (2005) Estuarine, Coastal and Shelf Science , vol.65 , Issue.1-2 , pp. 371-379
    • Vaiphasa, C.1    Ongsomwang, S.2    Vaiphasa, T.3    Skidmore, A.K.4
  • 9
    • 0034306947 scopus 로고    scopus 로고
    • Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems
    • G. P. Asner et al., "Impact of tissue, canopy, and landscape factors on the hyperspectral reflectance variability of arid ecosystems," Remote Sens. Environ. 74(1), 69-84 (2000), http://dx.doi.org/10.1016/S0034-4257(00) 00124-3.
    • (2000) Remote Sens. Environ , vol.74 , Issue.1 , pp. 69-84
    • Asner, G.P.1
  • 10
    • 0034082989 scopus 로고    scopus 로고
    • Using vegetation reflectance variability for species level classification of hyperspectral data
    • M. A. Cochrane, "Using vegetation reflectance variability for species level classification of hyperspectral data," Int. J. Remote Sens. 21(10), 2075-2087 (2000), http://dx.doi.org/10.1080/01431160050021303. (Pubitemid 30343843)
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.10 , pp. 2075-2087
    • Cochrane, M.A.1
  • 11
    • 21444434916 scopus 로고    scopus 로고
    • HyMap: An Australian hyperspectral sensor solving global problem results from USA HyMap data acquisitions
    • Adelaide, Australia
    • F. A. Kruse et al., "HyMap: an Australian hyperspectral sensor solving global problem results from USA HyMap data acquisitions," in Proc. of the 10th Australasian Remote Sensing and Photogrammetry Conf., Adelaide, Australia, pp. 18-23 (2000).
    • (2000) Proc. of the 10th Australasian Remote Sensing and Photogrammetry Conf , pp. 18-23
    • Kruse, F.A.1
  • 12
    • 0024856758 scopus 로고
    • Remote sensing of foliar chemistry
    • P. J. Curran, "Remote sensing of foliar chemistry," Remote Sens. Environ. 30(3), 271-278 (1989), http://dx.doi.org/10.1016/0034-4257(89) 90069-2.
    • (1989) Remote Sens. Environ , vol.30 , Issue.3 , pp. 271-278
    • Curran, P.J.1
  • 13
    • 0036325819 scopus 로고    scopus 로고
    • Spectral characteristics of lignin and soluble phenolics in the near infrared - A comparative study
    • DOI 10.1080/01431160110104683
    • J. Soukupová, B. N. Rock, and J. Albrechtová, "Spectral characteristics of lignin and soluble phenolics in the near infrared-a comparative study," Int. J. Remote Sens. 23(15), 3039-3055 (2002), http://dx.doi.org/10.1080/01431160110104683. (Pubitemid 34834596)
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.15 , pp. 3039-3055
    • Soukupova, J.1    Rock, B.N.2    Albrechtova, J.3
  • 15
    • 0041629027 scopus 로고    scopus 로고
    • Hyperspectral image data for mapping wetland vegetation
    • A. Hirano, M. Madden, and R. Welch, "Hyperspectral image data for mapping wetland vegetation," Wetlands 23(2), 436-448 (2003), http://dx.doi.org/10.1672/18-20. (Pubitemid 36967414)
    • (2003) Wetlands , vol.23 , Issue.2 , pp. 436-448
    • Hirano, A.1    Madden, M.2    Welch, R.3
  • 16
    • 0037322015 scopus 로고    scopus 로고
    • Discriminating tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatments using spectroradiometry
    • DOI 10.1016/S0924-2716(02)00158-2
    • O. Mutanga, A. K. Skidmore, and S. Van Wieren, "Discriminating tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatments using spectroradiometry," ISPRS J. Photogramm. Remote Sens. 57(4), 263-272 (2003), http://dx.doi.org/10.1016/S0924-2716(02)00158-2. (Pubitemid 36224755)
    • (2003) ISPRS Journal of Photogrammetry and Remote Sensing , vol.57 , Issue.4 , pp. 263-272
    • Mutanga, O.1    Skidmore, A.K.2    Van Wieren, S.3
  • 17
    • 0037466369 scopus 로고    scopus 로고
    • Spectral discrimination of vegetation types in a coastal wetland
    • DOI 10.1016/S0034-4257(02)00196-7
    • K. S. Schmidt and A. K. Skidmore, "Spectral discrimination of vegetation types in a coastal wetland," Remote Sens. Environ. 85(1), 92-108 (2003), http://dx.doi.org/10.1016/S0034-4257(02)00196-7. (Pubitemid 36421082)
    • (2003) Remote Sensing of Environment , vol.85 , Issue.1 , pp. 92-108
    • Schmidt, K.S.1    Skidmore, A.K.2
  • 18
    • 0037381087 scopus 로고    scopus 로고
    • Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in bahia grass (Paspalum notatum Flugge.)
    • DOI 10.1016/S0034-4257(02)00181-5, PII S0034425702001815
    • A. C. Schuerger et al., "Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in bahia grass (Paspalum notatum Flugge.)," Remote Sens. Environ. 84(4), 572-588 (2003), http://dx.doi.org/10.1016/S0034- 4257(02)00181-5. (Pubitemid 36360518)
    • (2003) Remote Sensing of Environment , vol.84 , Issue.4 , pp. 572-588
    • Schuerger, A.C.1    Capelle, G.A.2    Di Benedetto, J.A.3    Mao, C.4    Thai, C.N.5    Evans, M.D.6    Richards, J.T.7    Blank, T.A.8    Stryjewski, E.C.9
  • 19
    • 2342618939 scopus 로고    scopus 로고
    • Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops
    • DOI 10.1016/j.rse.2004.01.017, PII S0034425704000434
    • P. J. Zarco-Tejada et al., "Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops," Remote Sens. Environ. 90(4), 463-476 (2004), http://dx.doi.org/10.1016/j.rse.2004.01. 017. (Pubitemid 38583633)
    • (2004) Remote Sensing of Environment , vol.90 , Issue.4 , pp. 463-476
    • Zarco-Tejada, P.J.1    Miller, J.R.2    Morales, A.3    Berjon, A.4    Aguera, J.5
  • 20
    • 0001824039 scopus 로고
    • Spectral properties of plants
    • D. M. Gates et al., "Spectral properties of plants," Appl. Opt. 9, 545-552 (1965).
    • (1965) Appl. Opt , vol.9 , pp. 545-552
    • Gates, D.M.1
  • 21
    • 0018206147 scopus 로고
    • Biological and physical considerations in applying computer aided analysis techniques to the remote sensor data
    • P. H. Swain and S M. Davis, Eds McGraw-Hill, New York
    • R. M. Hoffer, "Biological and physical considerations in applying computer aided analysis techniques to the remote sensor data," in Remote Sensing: The Quantitative Approach, P. H. Swain and S. M. Davis, Eds., pp. 227-289, McGraw-Hill, New York (1978).
    • (1978) Remote Sensing: The Quantitative Approach , pp. 227-289
    • Hoffer, R.M.1
  • 22
    • 0000615265 scopus 로고
    • Scientific issues and potential remote sensing requirements for plant biochemical content
    • D. L. Peterson and G. S. Hubbard, "Scientific issues and potential remote sensing requirements for plant biochemical content," J. Imag. Sci. Technol. 36, 446-456 (1978).
    • (1978) J. Imag. Sci. Technol , vol.36 , pp. 446-456
    • Peterson, D.L.1    Hubbard, G.S.2
  • 23
    • 0035144811 scopus 로고    scopus 로고
    • Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration
    • R. F. Kokaly, "Investigating a physical basis for spectroscopic estimates of leaf nitrogen concentration," Remote Sens. Environ. 75(2), 267-287 (2001), http://dx.doi.org/10.1016/S0034-4257(00)00163-2.
    • (2001) Remote Sens. Environ , vol.75 , Issue.2 , pp. 267-287
    • Kokaly, R.F.1
  • 25
    • 0042342460 scopus 로고    scopus 로고
    • High resolution mapping of tropical mangrove ecosystems using hyperspectral and radar remote sensing
    • DOI 10.1080/0143116031000066323
    • A. Held et al., "High resolution mapping of tropical mangrove ecosystems using hyperspectral and radar remote sensing," Int. J. Remote Sens. 24(13), 2739-2759 (2003), http://dx.doi.org/10.1080/0143116031000066323. (Pubitemid 36910808)
    • (2003) International Journal of Remote Sensing , vol.24 , Issue.13 , pp. 2739-2759
    • Held, A.1    Ticehurst, C.2    Lymburner, L.3    Williams, N.4
  • 26
    • 84861772901 scopus 로고    scopus 로고
    • Hyperspectral unmixing overview: Geometrical, statistical and sparse regression-based approaches
    • J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: geometrical, statistical and sparse regression-based approaches," IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 5(2), 354-379 (2012), http://dx.doi.org/10.1109/JSTARS.2012.2194696.
    • (2012) IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens , vol.5 , Issue.2 , pp. 354-379
    • Bioucas-Dias, J.M.1
  • 27
    • 12144289543 scopus 로고    scopus 로고
    • A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
    • A. Plaza et al., "A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data," IEEE Trans. Geosci. Remote Sens. 42(3), 650-663 (2004), http://dx.doi.org/10.1109/TGRS.2003. 820314.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.3 , pp. 650-663
    • Plaza, A.1
  • 28
    • 46749145829 scopus 로고    scopus 로고
    • Spectral unmixing of hyperspectral images using a hierarchical Bayesian model
    • N. Dobigeon and J. Y. Tourneret, "Spectral unmixing of hyperspectral images using a hierarchical Bayesian model,"IEEE Trans. Signal Process. 56(7), 2684-2695 (2011), http://x.doi.org/10.1109/ICASSP.2007.367060.
    • (2011) IEEE Trans. Signal Process , vol.56 , Issue.7 , pp. 2684-2695
    • Dobigeon, N.1    Tourneret, J.Y.2
  • 29
    • 12144289543 scopus 로고    scopus 로고
    • A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data
    • A. Plaza et al., "A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data," IEEE Trans. Geosci. Remote Sens. 42(3), 650-663 (2004), http://dx.doi.org/10.1109/TGRS.2003. 820314.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.3 , pp. 650-663
    • Plaza, A.1
  • 30
    • 0033310314 scopus 로고    scopus 로고
    • N-finder: An algorithm for fast autonomous spectral endmember determination in hyperspectral data
    • M. E. Winter, "N-finder: an algorithm for fast autonomous spectral endmember determination in hyperspectral data," Proc. SPIE 3753, 266-277 (1999), http://dx.doi.org/10.1117/12.366289.
    • (1999) Proc. SPIE , vol.3753 , pp. 266-277
    • Winter, M.E.1
  • 31
    • 0000788452 scopus 로고    scopus 로고
    • Spectral analysis for earth science investigation
    • John Wiley &Sons Inc., New York
    • J. F. Mustard and J. M. Sunshine, "Spectral analysis for earth science investigation," in Remote Sensing for the Earth Sciences, pp. 509-564, John Wiley &Sons Inc., New York (1999).
    • (1999) Remote Sensing for the Earth Sciences , pp. 509-564
    • Mustard, J.F.1    Sunshine, J.M.2
  • 32
    • 0001395470 scopus 로고
    • Spectral mixture modeling: A new analysis of rock and soil types at the
    • Viking Lander 1 Site
    • J. B. Adams, M. O. Smith, and P. E. Johnson, "Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 Site," J. Geophys. 91(B8), 8098-8112 (1986), http://dx.doi.org/10.1029/ JB091iB08p08098.
    • (1986) J. Geophys , vol.91 , Issue.B8 , pp. 8098-8112
    • Adams, J.B.1    Smith, M.O.2    Johnson, P.E.3
  • 33
    • 0022114953 scopus 로고
    • Geometrical-optical modeling of a conifer forest canopy
    • X. Li and A. H. Strahler, "Geometrical-optical modeling of a conifer forest canopy," IEEE Trans. Geosci. Remote Sens. 23, 705-721 (1986).
    • (1986) IEEE Trans. Geosci. Remote Sens , vol.23 , pp. 705-721
    • Li, X.1    Strahler, A.H.2
  • 34
    • 17944387032 scopus 로고
    • Abundance and distribution of ultramafic microbreccia in Moses Rock Dike: Quantitative application of mapping spectrometer data
    • J. F. Mustard and C. M. Pieters, "Abundance and distribution of ultramafic microbreccia in Moses Rock Dike: quantitative application of mapping spectrometer data," J. Geophys. 92 (B10), 13619-13634 (1987), http://dx.doi.org/10.1029/JB094iB10p13619.
    • (1987) J. Geophys , vol.92 , Issue.B10 , pp. 13619-13634
    • Mustard, J.F.1    Pieters, C.M.2
  • 35
    • 0025571552 scopus 로고
    • Vegetation in deserts: I. A regional measure of abundance from multispectral images
    • M. O. Smith et al., "Vegetation in deserts: I. A regional measure of abundance from multispectral images," Remote Sens. Environ. 31(1), 1-26 (1990), http://dx.doi.org/10.1016/0034-4257(90)90074-V.
    • (1990) Remote Sens. Environ , vol.31 , Issue.1 , pp. 1-26
    • Smith, M.O.1
  • 37
    • 0028994980 scopus 로고
    • Remote sensing of forest biophysical structure using mixture of decomposition and geometric reflectance models
    • F. G. Hall, Y. E. Shimabukuro, and K. F. Huemmrich, "Remote sensing of forest biophysical structure using mixture decomposition and geometric reflectance model," Ecol. Appl. 5(4), 993-1013 (1995), http://dx.doi.org/ 10.2307/2269350. (Pubitemid 3004264)
    • (1995) Ecological Applications , vol.5 , Issue.4 , pp. 993-1013
    • Hall, F.G.1    Shimabukuro, Y.E.2    Huemmrich, K.F.3
  • 38
    • 0026452709 scopus 로고
    • Quantitative sub-pixel spectral detection of targets in multispectral images
    • D. E. Sabol, J. B. Adams, and M. O. Smith, "Quantitative sub-pixel spectral detection of targets in multispectral images," J. Geophys. 97(E2), 2659-2672 (1992), http://dx.doi.org/10.1029/91JE03117.
    • (1992) J. Geophys , vol.97 , Issue.E2 , pp. 2659-2672
    • Sabol, D.E.1    Adams, J.B.2    Smith, M.O.3
  • 39
    • 0000218155 scopus 로고
    • Imaging spectroscopy: Interpretation based on spectral mixture analysis
    • C. M. Pieters and P. Englert, Eds, Cambridge University Press, Cambridge, UK
    • J. B. Adams, M. O. Smith, and A. R. Gillespie, "Imaging spectroscopy: interpretation based on spectral mixture analysis," in Remote Geochemical Analysis: Elemental and Mineralogical Composition, C. M. Pieters and P. Englert, Eds., pp. 145-166, Cambridge University Press, Cambridge, UK (1993).
    • (1993) Remote Geochemical Analysis: Elemental and Mineralogical Composition , pp. 145-166
    • Adams, J.B.1    Smith, M.O.2    Gillespie, A.R.3
  • 40
    • 85032751930 scopus 로고    scopus 로고
    • Spectral unmixing
    • DOI 10.1109/79.974727
    • N. Keshava and J. Mustard, "Spectral unmixing," IEEE Signal Process. Mag.19(1), 44-57 (2002), http://dx.doi.org/10.1109/79.974727. (Pubitemid 34237207)
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 44-57
    • Keshava, N.1    Mustard, J.F.2
  • 41
    • 0003012586 scopus 로고    scopus 로고
    • Land cover classification revisited
    • M. Atkinson and N. J. Tate, Eds Wiley, Chichester, UK
    • P. M. Mather, "Land cover classification revisited," in Advances in Remote Sensing and GIS Analysis, P. M. Atkinson and N. J. Tate, Eds., pp. 7-16, Wiley, Chichester, UK (1999).
    • (1999) Advances in Remote Sensing and GIS Analysis , pp. 7-16
    • Mather, P.M.1
  • 42
    • 11144307383 scopus 로고    scopus 로고
    • Comparison of non-linear mixture models: Sub-pixel classification
    • DOI 10.1016/j.rse.2004.09.004, PII S0034425704002925
    • W. Liu and E. Wu, "Comparison of non-linear mixture models: sub-pixel classification," Remote Sens. Environ. 94, 145-154 (2005), http://dx.doi.org/10.1016/j.rse.2004.09.004. (Pubitemid 40020255)
    • (2005) Remote Sensing of Environment , vol.94 , Issue.2 , pp. 145-154
    • Liu, W.1    Wu, E.Y.2
  • 43
    • 80455158223 scopus 로고    scopus 로고
    • Nonlinear unmixing of hyperspectral images using a generalized bilinear model
    • IEEE
    • A. Halimi et al., "Nonlinear unmixing of hyperspectral images using a generalized bilinear model," IEEE Trans. Geosci. Remote Sens. 49(11), 4153-4162 (2011), http://dx.doi.org/10.1109/TGRS.2010.2098414.
    • (2011) Trans. Geosci. Remote Sens , vol.49 , Issue.11 , pp. 4153-4162
    • Halimi, A.1
  • 44
    • 11144307383 scopus 로고    scopus 로고
    • Comparison of non-linear mixture models: Sub-pixel classification
    • DOI 10.1016/j.rse.2004.09.004, PII S0034425704002925
    • W. Liu and E. Wu, "Comparison of non-linear mixture models: sub-pixel classification," Remote Sens. Environ. 94(2), 145-154 (2005), http://dx.doi.org/10.1016/j.rse.2004.09.004. (Pubitemid 40020255)
    • (2005) Remote Sensing of Environment , vol.94 , Issue.2 , pp. 145-154
    • Liu, W.1    Wu, E.Y.2
  • 45
    • 34347214788 scopus 로고    scopus 로고
    • Using multispectral imagery and linear spectral unmixing techniques for estimating crop yield variability
    • C. Yang, J. H. Everitt, and J. M. Bradford, "Using multispectral imagery and linear spectral unmixing techniques for estimating crop yield variability," Trans. ASABE 50(2), 667-674 (2007). (Pubitemid 46996934)
    • (2007) Transactions of the ASABE , vol.50 , Issue.2 , pp. 667-674
    • Yang, C.1    Everitt, J.H.2    Bradford, J.M.3
  • 46
    • 33846191228 scopus 로고    scopus 로고
    • Subpixel classification of ground surface features
    • A. Shakoor, "Subpixel classification of ground surface features," GIS Development 7(11), 20-39 (2003).
    • (2003) GIS Development , vol.7 , Issue.11 , pp. 20-39
    • Shakoor, A.1
  • 48
    • 0032156917 scopus 로고    scopus 로고
    • Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models
    • DOI 10.1016/S0034-4257(98)00037-6, PII S0034425798000376
    • D. A. Roberts et al., "Mapping Chapparal in the Santa Monica mountains using multiple endmember spectral mixture models," Remote Sens. Environ. 65(3), 267-279 (1994), http://dx.doi.org/10.1016/S0034-4257(98)00037-6. (Pubitemid 29360703)
    • (1998) Remote Sensing of Environment , vol.65 , Issue.3 , pp. 267-279
    • Roberts, D.A.1    Gardner, M.2    Church, R.3    Ustin, S.4    Scheer, G.5    Green, R.O.6
  • 49
    • 0041638947 scopus 로고    scopus 로고
    • Land cover mapping using spectral and temporal linear mixing model at Lake Baikal region
    • Y. Shimazaki and R. Tateishi, "Land cover mapping using spectral and temporal linear mixing model at Lake Baikal region," in Proc. of 22nd Asian Conf. on Remote Sensing, Singapore, pp. 843-847 (2001).
    • (2001) Proc. of 22nd Asian Conf. on Remote Sensing, Singapore , pp. 843-847
    • Shimazaki, Y.1    Tateishi, R.2
  • 51
    • 84887488864 scopus 로고    scopus 로고
    • University of Cincinnati, Ohio
    • R. Beck, EO-1 User Guide Version 2.3, p. 74, University of Cincinnati, Ohio (2003).
    • (2003) EO-1 User Guide Version , vol.2 , Issue.3 , pp. 74
    • Beck, R.1
  • 54
    • 84887415911 scopus 로고    scopus 로고
    • A new growing method for simplex-based endmember extraction algorithm
    • C.-I. Chang et al., "A new growing method for simplex-based endmember extraction algorithm," IEEE Trans. Geosci. Remote Sens. 44, 2804-2819 (2006), http://dx.doi.org/10.1109/TGRS.2006.881803.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , pp. 2804-2819
    • Chang, C.-I.1
  • 55
    • 57649134495 scopus 로고    scopus 로고
    • Variants of N-FINDR algorithm for endmember extraction
    • Q. Du et al., "Variants of N-FINDR algorithm for endmember extraction," Proc. SPIE 7109, 71090G (2008), http://dx.doi.org/10.1117/12. 799361.
    • (2008) Proc. SPIE 7109, 71090G
    • Du, Q.1
  • 56
    • 1642290713 scopus 로고    scopus 로고
    • Automatic spectral target recognition in hyperspectral imagery
    • R. Hsuang and C. Chang, "Automatic spectral target recognition in hyperspectral imagery," IEEE Trans. Aerosp. Electron. Syst. 39(4), 1232-1249 (2003), http://dx.doi.org/10.1109/TAES.2003.1261124.
    • (2003) IEEE Trans. Aerosp. Electron. Syst , vol.39 , Issue.4 , pp. 1232-1249
    • Hsuang, R.1    Chang, C.2
  • 57
    • 1642290713 scopus 로고    scopus 로고
    • Automatic spectral target recognition in hyperspectral imagery
    • H. Ren and C.-I. Chang, "Automatic spectral target recognition in hyperspectral imagery," IEEE Trans. Aerosp. Electron. Syst. 39(4), 1232-1249 (2003), http://dx.doi.org/10.1109/TAES.2003.1261124.
    • (2003) IEEE Trans. Aerosp. Electron. Syst , vol.39 , Issue.4 , pp. 1232-1249
    • Ren, H.1    Chang, C.-I.2
  • 58
    • 79957439842 scopus 로고    scopus 로고
    • Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution
    • A. Villa et al., "Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution," IEEE J. Sel. Top. Signal Process. 5(3), 521-533 (2010), http://dx.doi.org/10.1109/JSTSP.2010. 2096798.
    • (2010) IEEE J. Sel. Top. Signal Process , vol.5 , Issue.3 , pp. 521-533
    • Villa, A.1
  • 60
    • 84856762488 scopus 로고    scopus 로고
    • Hyperspectral data for mangrove species mapping: A comparison of pixel-based and object-based approach
    • M. Kamal and S. Phinn, "Hyperspectral data for mangrove species mapping: a comparison of pixel-based and object-based approach," Remote Sens. 3(10), 2222-2242 (2011), http://dx.doi.org/10.3390/rs3102222.
    • (2011) Remote Sens , vol.3 , Issue.10 , pp. 2222-2242
    • Kamal, M.1    Phinn, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.