메뉴 건너뛰기




Volumn 20, Issue 3, 2011, Pages 641-656

Random N-finder (N-FINDR) endmember extraction algorithms for hyperspectral imagery

Author keywords

Endmember extraction; iterative N FINDR (IN FINDR); N FINDR; random IN FINDR (RIN FINDR); random N FINDR (RN FINDR); random SC N FINDR (RSC N FINDR); SuCcessive N FINDR (SC N FINDR)

Indexed keywords

ENDMEMBER EXTRACTION; ITERATIVE N-FINDR (IN-FINDR); N-FINDR; RANDOM IN-FINDR (RIN-FINDR); RANDOM N-FINDR (RN-FINDR); RANDOM SC N-FINDR (RSC N-FINDR); SUCCESSIVE N-FINDR (SC N-FINDR);

EID: 79951847468     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2071310     Document Type: Article
Times cited : (68)

References (21)
  • 4
    • 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," in Image Spectrometry V, Proc. SPIE 3753, 1999, pp. 266-277.
    • (1999) Image Spectrometry V, Proc. SPIE , vol.3753 , pp. 266-277
    • Winter, M.E.1
  • 6
    • 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
  • 7
    • 0028427066 scopus 로고
    • Minimum-volume transforms for remotely sensed data
    • May
    • M. D. Craig, "Minimum-volume transforms for remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 3, pp. 542-552, May 1994.
    • (1994) IEEE Trans. Geosci. Remote Sens. , vol.32 , Issue.3 , pp. 542-552
    • Craig, M.D.1
  • 8
    • 0028742731 scopus 로고
    • Geometric mixture analysis of imaging spectrometery data
    • J. W. Boardman, "Geometric mixture analysis of imaging spectrometery data," in Proc. Int. Geoscience and Remote Sensing Symp., 1994, vol. 4, pp. 2369-2371.
    • (1994) Proc. Int. Geoscience and Remote Sensing Symp. , vol.4 , pp. 2369-2371
    • Boardman, J.W.1
  • 9
    • 0033099904 scopus 로고    scopus 로고
    • Hyperspectral image segmentation with convex cones
    • Mar.
    • A. Ifarraguerri and C.-I Chang, "Hyperspectral image segmentation with convex cones," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 2, pp. 756-770, Mar. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.2 , pp. 756-770
    • Ifarraguerri, A.1    Chang, C.-I.2
  • 10
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • DOI 10.1109/TGRS.2005.844293
    • J. M. P. Nascimento and J. M. 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
  • 12
    • 33748640868 scopus 로고    scopus 로고
    • Pixel purity index-based algorithms for endmember extraction from hyperspectral imagery
    • C.-I Chang, Ed. Trivandrum, Kerala, India: Research Signpost ch. 2
    • F. Chaudhry, C. Wu, W. Liu, C.-I Chang, and A. Plaza, "Pixel purity index-based algorithms for endmember extraction from hyperspectral imagery," in RecentAdvances in Hyperspectral Signal and Image Processing, C.-I Chang, Ed. Trivandrum, Kerala, India: Research Signpost, 2006, ch. 2.
    • (2006) RecentAdvances in Hyperspectral Signal and Image Processing
    • Chaudhry, F.1    Wu, C.2    Liu, W.3    Chang, C.-I.4    Plaza, A.5
  • 14
    • 31144478389 scopus 로고    scopus 로고
    • A fast iterative algorithm for implementation of pixel purity index
    • DOI 10.1109/LGRS.2005.856701
    • A. Plaza and C.-I Chang, "Fast iterative algorithm for implementation ofpixel purity index," IEEE Trans. Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 63-67, Jan. 2006. (Pubitemid 43131898)
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , Issue.1 , pp. 63-67
    • Chang, C.-I.1    Plaza, A.2
  • 15
    • 84887415911 scopus 로고    scopus 로고
    • A growing method for simplex-based endmember extraction algorithms
    • Oct.
    • C.-I Chang, C. Wu, W. Liu, and Y. C. Ouyang, "A growing method for simplex-based endmember extraction algorithms," 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.-I.1    Wu, C.2    Liu, W.3    Ouyang, Y.C.4
  • 16
    • 33750820859 scopus 로고    scopus 로고
    • Impact of initialization on design of endmember extraction algorithms
    • DOI 10.1109/TGRS.2006.879538, 1717734
    • C.-I Chang and A. Plaza, "Impact of initialization on design of endmember extraction algorithms," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3397-3407, Nov. 2006. (Pubitemid 44711681)
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.11 , pp. 3397-3407
    • Plaza, A.1    Chang, C.-I.2
  • 17
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • Mar.
    • C.-I 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.-I.1    Du, Q.2
  • 18
    • 79951840419 scopus 로고    scopus 로고
    • SpecLab. [Online]. Available
    • SpecLab. [Online]. Available: http://speclab.cr.usgs.gov/cuprite.html
  • 19
    • 0028467206 scopus 로고
    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • Jul.
    • J. C. Harsanyi and C.-I Chang, "Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach,"IEEE Trans. Geosci. Remote Sens.,vol. 32, no. 4, pp. 779-785, Jul. 1994.
    • (1994) IEEE Trans. Geosci. Remote Sens. , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 20
    • 3042511541 scopus 로고    scopus 로고
    • Estimation of subpixel target size for remotely sensed imagery
    • Jun. Tables III and IV
    • C.-I Chang, H. Ren, C.-C. Chang, J. O. Jensen, and F. D'Amico, "Estimation of subpixel target size for remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1309-1320, Jun. 2004, Tables III and IV.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.6 , pp. 1309-1320
    • Chang, C.-I.1    Ren, H.2    Chang, C.-C.3    Jensen, J.O.4    D'Amico, F.5
  • 21
    • 0026982122 scopus 로고
    • Discriminative learning for minimum error classification
    • DOI 10.1109/78.175747
    • B. H. Juang and S. Katagiri, "Discriminative learning for minimum error classification," IEEE Trans. Signal Process., vol. 40, pp. 3043-3054, 1992. (Pubitemid 23603018)
    • (1992) IEEE Transactions on Signal Processing , vol.40 , Issue.12 , pp. 3043-3054
    • Juang Biing-Hwang1    Katagiri Shigeru2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.