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Volumn 49, Issue 11 PART 1, 2011, Pages 4210-4222

Improving spatial-spectral endmember extraction in the presence of anomalous ground objects

Author keywords

Anomalous ground objects; endmember extraction (EE); endmember identification; hyperspectral remote sensing; spatial spectral; spectral mixture analysis (SMA)

Indexed keywords

ENDMEMBER EXTRACTION; ENDMEMBERS; GROUND OBJECTS; HYPERSPECTRAL REMOTE SENSING; SPATIAL-SPECTRAL; SPECTRAL MIXTURE ANALYSIS;

EID: 80455154959     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2163160     Document Type: Article
Times cited : (34)

References (40)
  • 2
    • 70350493345 scopus 로고    scopus 로고
    • Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
    • Nov
    • N. Dobigeon, S. Moussaoui, M. Coulon, J. Tourneret, and A. Hero, Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery, IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4355-4368, Nov. 2009
    • (2009) IEEE Trans. Signal Process , vol.57 , Issue.11 , pp. 4355-4368
    • Dobigeon, N.1    Moussaoui, S.2    Coulon, M.3    Tourneret, J.4    Hero, A.5
  • 3
    • 77952555368 scopus 로고    scopus 로고
    • PCE: Piecewise convex endmember detection
    • Jun.
    • A. Zare and P. Gader, PCE: Piecewise convex endmember detection, IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2620-2632, Jun. 2010
    • (2010) IEEE Trans. Geosci. Remote Sens , vol.48 , Issue.6 , pp. 2620-2632
    • Zare, A.1    Gader, P.2
  • 4
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • DOI 10.1109/TGRS.2005.844293
    • J. Nascimento and J. Dias, Vertex component analysis: A fast algorithm to unmix hyperspectral data, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005 (Pubitemid 40476033)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.M.P.1    Dias, J.M.B.2
  • 5
    • 84887415911 scopus 로고    scopus 로고
    • A new growing method for simplex-based endmember extraction algorithm
    • Oct
    • C. Chang, C. Wu, W. Liu, and Y. Ouyang, A new growing method for simplex-based endmember extraction algorithm, IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2804-2819, Oct. 2006
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.10 , pp. 2804-2819
    • Chang, C.1    Wu, C.2    Liu, W.3    Ouyang, Y.4
  • 6
    • 65049088007 scopus 로고    scopus 로고
    • Orthogonal bases approach for the decomposition of mixed pixels in hyperspectral imagery
    • Apr
    • X. Tao, B. Wang, and L. Zhang, Orthogonal bases approach for the decomposition of mixed pixels in hyperspectral imagery, IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 219-223, Apr. 2009
    • (2009) IEEE Geosci. Remote Sens. Lett , vol.6 , Issue.2 , pp. 219-223
    • Tao, X.1    Wang, B.2    Zhang, L.3
  • 7
    • 77956057087 scopus 로고    scopus 로고
    • Spatial purity based endmember extraction for spectral mixture analysis
    • Sep.
    • S. Mei, M. He, Z. Wang, and D. Feng, Spatial purity based endmember extraction for spectral mixture analysis, IEEE Trans. Geosci. Remote Sens., vol. 48, no. 9, pp. 3434-3445, Sep. 2010
    • (2010) IEEE Trans. Geosci. Remote Sens , vol.48 , Issue.9 , pp. 3434-3445
    • Mei, S.1    He, M.2    Wang, Z.3    Feng, D.4
  • 8
    • 0036762725 scopus 로고    scopus 로고
    • Spatial/spectral endmember extraction by multidimensional morphological operations
    • DOI 10.1109/TGRS.2002.802494
    • A. Plaza, P. Martinez, R. Perez, and J. Plaza, Spatial/spectral endmember extraction by multidimensional morphological operations, IEEE Trans. Geosci. Remote Sens., vol. 40, no. 9, pp. 2025-2041, Sep. 2002 (Pubitemid 35458399)
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.9 , pp. 2025-2041
    • Plaza, A.1    Martinez, P.2    Perez, R.3    Plaza, J.4
  • 9
    • 2142816603 scopus 로고    scopus 로고
    • A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles
    • DOI 10.1016/j.patcog.2004.01.006, PII S0031320304000391
    • A. Plaza, P. Martinez, R. Perez, and J. Plaza, A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles, Pattern Recognit., vol. 37, no. 6, pp. 1097-1116, Jun. 2004 (Pubitemid 38549813)
    • (2004) Pattern Recognition , vol.37 , Issue.6 , pp. 1097-1116
    • Plaza, A.1    Martinez, P.2    Perez, R.3    Plaza, J.4
  • 10
    • 70349306378 scopus 로고    scopus 로고
    • Spectral-spatial endmember extraction by singular value decomposition for AVIRIS data
    • S. Mei, M. He, Z. Wang, and D. Feng, Spectral-spatial endmember extraction by singular value decomposition for AVIRIS data, in Proc. 4th IEEE Conf. Ind. Electron. Appl., 2009, pp. 1472-1476
    • (2009) Proc. 4th IEEE Conf. Ind. Electron. Appl , pp. 1472-1476
    • Mei, S.1    He, M.2    Wang, Z.3    Feng, D.4
  • 11
    • 67949098957 scopus 로고    scopus 로고
    • Spatial preprocessing for endmember extraction
    • Aug
    • M. Zortea and A. Plaza, Spatial preprocessing for endmember extraction, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2679-2693, Aug. 2009
    • (2009) IEEE Trans. Geosci. Remote Sens , vol.47 , Issue.8 , pp. 2679-2693
    • Zortea, M.1    Plaza, A.2
  • 14
    • 17644371466 scopus 로고    scopus 로고
    • Hyperspectral image processing for automatic target detection applications
    • D. Manolakis, D.Marden, and G. Shaw, Hyperspectral image processing for automatic target detection applications, Lincoln Lab. J., vol. 14, no. 1, pp. 79-116, 2003
    • (2003) Lincoln Lab. J , vol.14 , Issue.1 , pp. 79-116
    • Manolakis, D.1    Marden, D.2    Shaw, G.3
  • 16
    • 0032083396 scopus 로고    scopus 로고
    • ISDAS - A System for Processing/Analyzing Hyperspectral Data
    • K. Staenz, T. Szeredi, and J. Schwarz, ISDAS: A system for processing/ analyzing hyperspectral data, Can. J. Remote Sens., vol. 24, no. 2, pp. 99-113, 1998 (Pubitemid 128526388)
    • (1998) Canadian Journal of Remote Sensing , vol.24 , Issue.2 , pp. 99-113
    • Staenz, K.1    Szeredi, T.2    Schwarz, J.3
  • 17
    • 0036613261 scopus 로고    scopus 로고
    • Anomaly detection and classification for hyperspectral imagery
    • Jun
    • C.-I. Chang and S.-S. Chiang, Anomaly detection and classification for hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 40, no. 6, pp. 1314-1325, Jun. 2002
    • (2002) IEEE Trans. Geosci. Remote Sens , vol.40 , Issue.6 , pp. 1314-1325
    • Chang, C.-I.1    Chiang, S.-S.2
  • 18
    • 13144293109 scopus 로고    scopus 로고
    • Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
    • DOI 10.1109/TGRS.2004.841487
    • H. Kwon and N. Nasrabadi, Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 2, pp. 388-397, Feb. 2005 (Pubitemid 40178510)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.2 , pp. 388-397
    • Kwon, H.1    Nasrabadi, N.M.2
  • 19
    • 36749083452 scopus 로고    scopus 로고
    • Rank estimation and redundancy reduction of high-dimensional noisy signals with preservation of rare vectors
    • DOI 10.1109/TSP.2007.901645
    • O. Kuybeda, D. Malah, and M. Barzohar, Rank estimation and redundancy reduction of high-dimensional noisy signals with preservation of rare vectors, IEEE Trans. Signal Process., vol. 55, no. 12, pp. 5579- 5592, Dec. 2007 (Pubitemid 350201194)
    • (2007) IEEE Transactions on Signal Processing , vol.55 , Issue.12 , pp. 5579-5592
    • Kuybeda, O.1    Malah, D.2    Barzohar, M.3
  • 20
    • 70350675080 scopus 로고    scopus 로고
    • A new algorithm for robust estimation of the signal subspace in hyperspectral images in the presence of rare signal components
    • Nov
    • N. Acito, M. Diani, and G. Corsini, A new algorithm for robust estimation of the signal subspace in hyperspectral images in the presence of rare signal components, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3844-3856, Nov. 2009
    • (2009) IEEE Trans. Geosci. Remote Sens , vol.47 , Issue.11 , pp. 3844-3856
    • Acito, N.1    Diani, M.2    Corsini, G.3
  • 21
    • 77958558106 scopus 로고    scopus 로고
    • Hyperspectral signal subspace identification in the presence of rare signal components
    • Apr.
    • N. Acito, M. Diani, and G. Corsini, Hyperspectral signal subspace identification in the presence of rare signal components, IEEE Trans. Geosci. Remote Sens., vol. 48, no. 4, pp. 1940-1954, Apr. 2010
    • (2010) IEEE Trans. Geosci. Remote Sens , vol.48 , Issue.4 , pp. 1940-1954
    • Acito, N.1    Diani, M.2    Corsini, G.3
  • 22
    • 58149483476 scopus 로고    scopus 로고
    • Spectral unmixing with negative and superunity abundances for subpixel anomaly detection
    • Jan
    • O. Duran and M. Petrou, Spectral unmixing with negative and superunity abundances for subpixel anomaly detection, IEEE Geosci. Remote Sens. Lett., vol. 6, no. 1, pp. 152-156, Jan. 2009
    • (2009) IEEE Geosci. Remote Sens. Lett , vol.6 , Issue.1 , pp. 152-156
    • Duran, O.1    Petrou, M.2
  • 23
    • 77951283281 scopus 로고    scopus 로고
    • Robust endmember extraction in the presence of anomalies
    • Jul
    • O. Duran and M. Petrou, Robust endmember extraction in the presence of anomalies, in Proc. IEEE Geosci. Remote Sens. Symp., Jul. 2009, vol. 4, pp. IV-89-IV-92
    • (2009) Proc IEEE Geosci. Remote Sens. Symp , vol.4
    • Duran, O.1    Petrou, M.2
  • 24
    • 70350488509 scopus 로고    scopus 로고
    • A convex analysis-based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
    • Nov
    • T. Chan, C. Chi, Y. Huang, and W. Ma, A convex analysis-based minimum-volume enclosing simplex algorithm for hyperspectral unmixing, IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4418-4432, Nov. 2009
    • (2009) IEEE Trans. Signal Process , vol.57 , Issue.11 , pp. 4418-4432
    • Chan, T.1    Chi, C.2    Huang, Y.3    Ma, W.4
  • 25
    • 0028742731 scopus 로고
    • Geometric mixture analysis of imaging spectrometry data
    • IEEE Int. Geosci. Remote Sens. Symp Aug
    • J. Boardman, Geometric mixture analysis of imaging spectrometry data, in Proc. IEEE Int. Geosci. Remote Sens. Symp., Aug. 1994, vol. 4, pp. 2369-2371
    • (1994) Proc , vol.4 , pp. 2369-2371
    • Boardman, J.1
  • 26
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery
    • DOI 10.1109/36.911111, PII S0196289201020861
    • D. Heinz and C. Chang, Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001 (Pubitemid 32400422)
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.C.1    Chang, C.-I.2
  • 27
    • 34047244201 scopus 로고    scopus 로고
    • A maximum entropy approach to unsupervised mixed-pixel decomposition
    • DOI 10.1109/TIP.2006.891350
    • L. Miao, H. Qi, and H. Szu, A maximum entropy approach to unsupervised mixed-pixel decomposition, IEEE Trans. Image Process., vol. 16, no. 4, pp. 1008-1021, Apr. 2007 (Pubitemid 46546106)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.4 , pp. 1008-1021
    • Miao, L.1    Qi, H.2    Szu, H.3
  • 28
    • 77954624705 scopus 로고    scopus 로고
    • Mixture analysis by multichanel Hopfield neural network
    • Jul.
    • S. Mei, M. He, Z. Wang, and D. Feng, Mixture analysis by multichanel Hopfield neural network, IEEE Geosci. Remote Sens. Lett., vol. 7, no. 3, pp. 455-459, Jul. 2010
    • (2010) IEEE Geosci. Remote Sens. Lett , vol.7 , Issue.3 , pp. 455-459
    • Mei, S.1    He, M.2    Wang, Z.3    Feng, D.4
  • 29
    • 8144231500 scopus 로고    scopus 로고
    • A survey of spectral unmixing algorithms
    • N. Keshava, A survey of spectral unmixing algorithms, Lincoln Lab. J., vol. 14, no. 1, pp. 55-78, 2003
    • (2003) Lincoln Lab. J , vol.14 , Issue.1 , pp. 55-78
    • Keshava, N.1
  • 31
    • 56249110205 scopus 로고    scopus 로고
    • Hopfield neural network based mixed pixel unmixing for multispectral data
    • San Diego, CA Aug. 10-14
    • S. Mei, D. D. Feng, and M. He, Hopfield neural network based mixed pixel unmixing for multispectral data, in Proc. SPIE Conf. Satellite Data Compression, Commun. Process. IV, San Diego, CA, Aug. 10-14, 2008, pp. 70 840C.1-70 840C.8
    • (2008) Proc. SPIE Conf. Satellite Data Compression, Commun. Process IV , vol.70
    • Mei, S.1    Feng, D.D.2    He, M.3
  • 33
    • 79951838072 scopus 로고    scopus 로고
    • An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems
    • Mar.
    • M. Afonso, J. Bioucas-Dias, and M. Figueiredo, An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems, IEEE Trans. Image Process., vol. 20, no. 3, pp. 681- 695, Mar. 2011
    • (2011) IEEE Trans. Image Process , vol.20 , Issue.3 , pp. 681-695
    • Afonso, M.1    Bioucas-Dias, J.2    Figueiredo, M.3
  • 35
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • Mar
    • C. Chang and Q. Du, Estimation of number of spectrally distinct signal sources in hyperspectral imagery, IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608-619, Mar. 2004
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.1    Du, Q.2
  • 36
    • 33846223397 scopus 로고    scopus 로고
    • Exploration of methods for estimation of number of endmembers in hyperspectral imagery
    • C. Wu, W. Liu, and C. Chang, Exploration of methods for estimation of number of endmembers in hyperspectral imagery, Proc. SPIE, vol. 7, no. 43, pp. 63 781C.1-63 781C.11, 2006
    • (2006) Proc. SPIE , vol.7 , Issue.43
    • Wu, C.1    Liu, W.2    Chang, C.3
  • 37
    • 1542318143 scopus 로고    scopus 로고
    • Imaging spectroscopy: Earth and planetary remote sensing with the
    • USGS Tetracorder and expert systems
    • R. Clark, G. Swayze, K. Livo, R. Kokaly, S. Sutley, J. Dalton, R. McDougal, and C. Gent, Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems, J. Geophys. Res.-Planets, vol. 108, no. E12, p. 5131, 2003
    • (2003) J. Geophys. Res.-Planets , vol.108 , Issue.E12 , pp. 5131
    • Clark, R.1    Swayze, G.2    Livo, K.3    Kokaly, R.4    Sutley, S.5    Dalton, J.6    McDougal, R.7    Gent, C.8
  • 38
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data
    • M. Winter, N-FINDR: An algorithm for fast autonomous spectral endmember determination in hyperspectral data, in Proc. SPIE, Image Spectrometry V,1999, vol. 3753, pp. 266-277
    • (1999) Proc. SPIE, Image Spectrometry v , vol.3753 , pp. 266-277
    • Winter, M.1
  • 39
  • 40
    • 34548036670 scopus 로고    scopus 로고
    • Integration of spatial-spectral information for the improved extraction of endmembers
    • DOI 10.1016/j.rse.2007.02.019, PII S0034425707000934
    • D. Rogge, B. Rivard, J. Zhang, A. Sanchez, J. Harris, and J. Feng, Integration of spatial-spectral information for the improved extraction of endmembers, Remote Sens. Environ., vol. 110, no. 3, pp. 287-303, Oct. 2007 (Pubitemid 47285207)
    • (2007) Remote Sensing of Environment , vol.110 , Issue.3 , pp. 287-303
    • Rogge, D.M.1    Rivard, B.2    Zhang, J.3    Sanchez, A.4    Harris, J.5    Feng, J.6


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