메뉴 건너뛰기




Volumn , Issue , 2008, Pages 837-841

Calculation of abundance factors in hyperspectral imaging using genetic algorithm

Author keywords

Genetic algorithm; Hyperspectral imaging; Spectral unmixing; Virtual dimensionality

Indexed keywords

ALGORITHMS; ATMOSPHERICS; BIOELECTRIC PHENOMENA; CHLORINE COMPOUNDS; CURVE FITTING; ERROR ANALYSIS; GENETIC ALGORITHMS; IMAGE ENHANCEMENT; IMAGING SYSTEMS; IMAGING TECHNIQUES; LAWS AND LEGISLATION; LEAST SQUARES APPROXIMATIONS; OPTOELECTRONIC DEVICES; SECURITY OF DATA; TECHNOLOGY;

EID: 51849099605     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2008.4564653     Document Type: Conference Paper
Times cited : (12)

References (7)
  • 1
    • 0001473286 scopus 로고
    • Bidirection reflectance spectrocopy. I. Theory
    • B. Hapke, "Bidirection reflectance spectrocopy. I. Theory." Res., vol. 86, pp. 30393054, 1981.
    • (1981) Res , vol.86 , pp. 30393054
    • Hapke, B.1
  • 2
    • 0020737529 scopus 로고
    • A semiempirical method for analysis of the reflectance spectra of binary mineral mixtures
    • P. Johnson, M. Smith, S. Taylor-George, and J. Adams, "A semiempirical method for analysis of the reflectance spectra of binary mineral mixtures." Journal Geophys. Res., vol. 88, pp. 35573561, 1983
    • (1983) Journal Geophys. Res , vol.88 , pp. 35573561
    • Johnson, P.1    Smith, M.2    Taylor-George, S.3    Adams, J.4
  • 3
    • 0006606953 scopus 로고    scopus 로고
    • Least squares subspace projection approach to mixed pixel classification in hyperspectral images
    • May
    • C.-I Chang, X. Zhao, M. L. G. Althouse, and J.-J. Pan, "Least squares subspace projection approach to mixed pixel classification in hyperspectral images." IEEE Trans. Geosci. Remote Sensing, vol. 36, pp. 898912,May 1998
    • (1998) IEEE Trans. Geosci. Remote Sensing , vol.36 , pp. 898912
    • Chang, C.-I.1    Zhao, X.2    Althouse, M.L.G.3    Pan, J.-J.4
  • 4
    • 0000201510 scopus 로고    scopus 로고
    • An unsupervised interference rejection approach to target detection and classification for hyperspectral imagery
    • Mar
    • C.-I Chang, T. L. E. Sun, and M. L. G. Althouse, "An unsupervised interference rejection approach to target detection and classification for hyperspectral imagery." Opt. Eng., vol. 37, pp. 735743, Mar. 1998
    • (1998) Opt. Eng , vol.37 , pp. 735743
    • Chang, C.-I.1    Sun, T.L.E.2    Althouse, M.L.G.3
  • 5
    • 0025841255 scopus 로고
    • The least-squares mixing models to generate fraction images derived from remote sensing multispectral data
    • Jan
    • Y. E. Shimabukuro and J. A. Smith, "The least-squares mixing models to generate fraction images derived from remote sensing multispectral data." IEEE Trans. Geosci. Remote Sensing, vol. 29, pp. 1620, Jan.1991.
    • (1991) IEEE Trans. Geosci. Remote Sensing , vol.29 , pp. 1620
    • Shimabukuro, Y.E.1    Smith, J.A.2
  • 6
    • 34047244201 scopus 로고    scopus 로고
    • A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition
    • April
    • Lidan Miao,Hairong Qi,Harold Szu "A Maximum Entropy Approach to Unsupervised Mixed-Pixel Decomposition." IEEE Trans. on Image Processing, vol. 16, no. 4, April 2007
    • (2007) IEEE Trans. on Image Processing , vol.16 , Issue.4
    • Miao, L.1    Qi, H.2    Szu, H.3
  • 7
    • 0021892197 scopus 로고    scopus 로고
    • M. Wax and T. Kailath, Detection of signals by information criteria. IEEE Trans. Acoustic, Speech, and Signal Process., ASSP-33, pp.387392, Apr. 1985.
    • M. Wax and T. Kailath, "Detection of signals by information criteria." IEEE Trans. Acoustic, Speech, and Signal Process., vol. ASSP-33, pp.387392, Apr. 1985.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.