메뉴 건너뛰기




Volumn 6661, Issue , 2007, Pages

Linear unmixing using endmember subspaces and physics based modeling

Author keywords

Endmembers; Hyperspectral; Linear mixing; Physics based modeling

Indexed keywords

ENDMEMBERS; HYPERSPECTRAL; LINEAR MIXING MODEL; PHYSICS-BASED MODELING;

EID: 42149088854     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.735677     Document Type: Conference Paper
Times cited : (2)

References (15)
  • 2
    • 0025545442 scopus 로고
    • Inversion of high spectral resolution data
    • J. W. Boardman, "Inversion of high spectral resolution data," Proc. SPIE, vol. 1298, pp. 222-233, 1990.
    • (1990) Proc. SPIE , vol.1298 , pp. 222-233
    • Boardman, J.W.1
  • 4
    • 42149192232 scopus 로고    scopus 로고
    • L. Parsons, E. Haque, and H. Liu, Subspace clustering for high dimensional data: a review, SIGKDD Explor. Newsl. 6, 1 (Jun. 2004), 90-105. DOI= http://doi.acm.org/10.1145/1007730.1007731
    • L. Parsons, E. Haque, and H. Liu, "Subspace clustering for high dimensional data: a review", SIGKDD Explor. Newsl. 6, 1 (Jun. 2004), 90-105. DOI= http://doi.acm.org/10.1145/1007730.1007731
  • 6
    • 42149186670 scopus 로고    scopus 로고
    • An Optical Real-Time Adaptive Spectral Identification System (ORASIS)
    • C.-I. Chang, ed. Wiley and Sons, Hoboken, NJ
    • J. Bowles and D. Gillis, "An Optical Real-Time Adaptive Spectral Identification System (ORASIS)", in Hyperspectral Data Exploitation, Theory and Applications, C.-I. Chang, ed. Wiley and Sons, Hoboken, NJ 2007.
    • (2007) Hyperspectral Data Exploitation, Theory and Applications
    • Bowles, J.1    Gillis, D.2
  • 7
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: An algorithm for fast autonomous spectral end-member determination in hyperspectral data
    • Imaging Spectrometry V, 10/1999
    • M. Winter, "N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data", Proceedings of SPIE Volume 3753: Imaging Spectrometry V, 10/1999.
    • Proceedings of SPIE , vol.3753
    • Winter, M.1
  • 8
    • 0036508022 scopus 로고    scopus 로고
    • Invariant subpixel material detection in hyperspectral imagery
    • Mar
    • B. Thai and G. Healey, "Invariant subpixel material detection in hyperspectral imagery," Geoscience and Remote Sensing, IEEE Transactions on, vol.40, no.3, pp.599-608, Mar 2002
    • (2002) Geoscience and Remote Sensing, IEEE Transactions on , vol.40 , Issue.3 , pp. 599-608
    • Thai, B.1    Healey, G.2
  • 9
    • 0003443365 scopus 로고
    • MODTRAN: A moderate resolution model for LOWTRAN 7
    • Technical Report GL-TR-89-0122, Air Force Geophysics Laboratory, Hanscom AFB, MA
    • A. Berk, L. Bernstein, and D. Robertson, "MODTRAN: A moderate resolution model for LOWTRAN 7", Technical Report GL-TR-89-0122, Air Force Geophysics Laboratory, Hanscom AFB, MA, 1988.
    • (1988)
    • Berk, A.1    Bernstein, L.2    Robertson, D.3
  • 10
    • 33947709430 scopus 로고    scopus 로고
    • E.J. Ientilucci and J.R. Schott, Physics Based Target Detection using a Hybrid Algorithm with an Infeasibility Metric, Invited Paper, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (Toulouse, France), May 2006.
    • E.J. Ientilucci and J.R. Schott, "Physics Based Target Detection using a Hybrid Algorithm with an Infeasibility Metric", Invited Paper, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (Toulouse, France), May 2006.
  • 11
    • 33749161260 scopus 로고    scopus 로고
    • Two Dimensional Decision Spaces Generated from Physics Based Target Detection as Applied to Hyperspectral Imagery
    • ICIS, May
    • E.J. Ientilucci, "Two Dimensional Decision Spaces Generated from Physics Based Target Detection as Applied to Hyperspectral Imagery", International Congress of Imaging Science (ICIS), May 2006.
    • (2006) International Congress of Imaging Science
    • Ientilucci, E.J.1
  • 14
    • 33750569615 scopus 로고    scopus 로고
    • Statistical Models for Physically Derived Target Sub-Spaces
    • San Diego, CA, August
    • E.J. Ientilucci, "Statistical Models for Physically Derived Target Sub-Spaces", In Proc. SPIE, Imaging Spectrometry XI, Vol. 6302, (San Diego, CA), August 2006.
    • (2006) Proc. SPIE, Imaging Spectrometry XI , vol.6302
    • Ientilucci, E.J.1
  • 15
    • 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," Geoscience and Remote Sensing, IEEE Transactions on, vol.32, no.4, pp.779-785, Jul 1994
    • (1994) Geoscience and Remote Sensing, IEEE Transactions on , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.