메뉴 건너뛰기




Volumn 8, Issue 6, 2015, Pages 2870-2883

FPGA Implementation of the HySime Algorithm for the Determination of the Number of Endmembers in Hyperspectral Data

Author keywords

Field programmable gate arrays (FPGAs); hyperspectral imaging; HySime; number of endmembers estimation; reconfigurable hardware

Indexed keywords

ALGORITHMS; COMPUTER HARDWARE; DATA HANDLING; HARDWARE; HARDWARE-SOFTWARE CODESIGN; INFRARED IMAGING; INTERNATIONAL TRADE; LOGIC GATES; OFFICE BUILDINGS; RECONFIGURABLE HARDWARE; SPECTROSCOPY; STRUCTURAL DESIGN;

EID: 84939243532     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2425731     Document Type: Article
Times cited : (22)

References (31)
  • 1
    • 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
  • 2
    • 84861772901 scopus 로고    scopus 로고
    • Hyperspectral unmixing overview: Geometrical, statistical and sparse regression-based approaches
    • Apr.
    • J. M. Bioucas-Dias et al., "Hyperspectral unmixing overview: Geometrical, statistical and sparse regression-based approaches," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 2, pp. 354-379, Apr. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.2 , pp. 354-379
    • Bioucas-Dias, J.M.1
  • 5
    • 84877887520 scopus 로고    scopus 로고
    • Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratios
    • Apr.
    • R. Heylen and P. Scheunders, "Hyperspectral intrinsic dimensionality estimation with nearest-neighbor distance ratios," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 570-579, Apr. 2013.
    • (2013) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.6 , Issue.2 , pp. 570-579
    • Heylen, R.1    Scheunders, P.2
  • 8
    • 33847121768 scopus 로고    scopus 로고
    • High-performance computing in remotely sensed hyperspectral imaging: The pixel purity index algorithm as a case study
    • A. Plaza, D. Valencia, and J. Plaza, "High-performance computing in remotely sensed hyperspectral imaging: The pixel purity index algorithm as a case study," in Proc. Int. Parallel Distrib. Process. Symp. (IPDPS), 2006, pp. 1-8.
    • (2006) Proc. Int. Parallel Distrib. Process. Symp. (IPDPS) , pp. 1-8
    • Plaza, A.1    Valencia, D.2    Plaza, J.3
  • 9
    • 85032752191 scopus 로고    scopus 로고
    • Parallel hyperspectral image and signal processing
    • May
    • A. Plaza, J. Plaza, A. Paz, and S. Sanchez, "Parallel hyperspectral image and signal processing," IEEE Signal Process. Mag., vol. 28, no. 3, pp. 119-126, May 2011.
    • (2011) IEEE Signal Process. Mag. , vol.28 , Issue.3 , pp. 119-126
    • Plaza, A.1    Plaza, J.2    Paz, A.3    Sanchez, S.4
  • 10
    • 84874542998 scopus 로고    scopus 로고
    • The promise of reconfigurable computing for hyperspectral imaging onboard systems: A review and trends
    • Mar.
    • S. Lopez et al., "The promise of reconfigurable computing for hyperspectral imaging onboard systems: A review and trends," Proc. IEEE, vol. 101, no. 3, pp. 698-722, Mar. 2013.
    • (2013) Proc. IEEE , vol.101 , Issue.3 , pp. 698-722
    • Lopez, S.1
  • 12
    • 84872070055 scopus 로고    scopus 로고
    • A novel architecture for hyperspectral endmember extraction by means of the modified vertex component analysis (MVCA) algorithm
    • Dec.
    • S. Lopez, P. Horstrand, G. M. Callico, J. F. Lopez, and R. Sarmiento, "A novel architecture for hyperspectral endmember extraction by means of the modified vertex component analysis (MVCA) algorithm," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 6, pp. 1837-1848, Dec. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.6 , pp. 1837-1848
    • Lopez, S.1    Horstrand, P.2    Callico, G.M.3    Lopez, J.F.4    Sarmiento, R.5
  • 13
    • 84856354560 scopus 로고    scopus 로고
    • FPGA implementation of the N-FINDR algorithm for remotely sensed hyperspectral image analysis
    • Feb.
    • C. Gonzalez, D. Mozos, J. Resano, and A. Plaza, "FPGA implementation of the N-FINDR algorithm for remotely sensed hyperspectral image analysis," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 2, pp. 374-388, Feb. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.2 , pp. 374-388
    • Gonzalez, C.1    Mozos, D.2    Resano, J.3    Plaza, A.4
  • 14
    • 84857749759 scopus 로고    scopus 로고
    • FPGA implementation of abundance estimation for spectral unmixing of hyperspectral data using the image space reconstruction algorithm
    • Feb.
    • C. Gonzalez, J. Resano, A. Plaza, and D. Mozos, "FPGA implementation of abundance estimation for spectral unmixing of hyperspectral data using the image space reconstruction algorithm," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 1, pp. 248-261, Feb. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.1 , pp. 248-261
    • Gonzalez, C.1    Resano, J.2    Plaza, A.3    Mozos, D.4
  • 15
    • 77955283795 scopus 로고    scopus 로고
    • FPGA implementation of the pixel purity index algorithm for remotely sensed hyperspectral image analysis
    • 969806
    • C. Gonzalez, J. Resano, D. Mozos, A. Plaza, and D. Valencia, "FPGA implementation of the pixel purity index algorithm for remotely sensed hyperspectral image analysis," EURASIP J. Adv. Signal Process., vol. 2010:969806, pp. 1-13, 2010, article 969806.
    • (2010) EURASIP J. Adv. Signal Process. , vol.2010 , pp. 1-13
    • Gonzalez, C.1    Resano, J.2    Mozos, D.3    Plaza, A.4    Valencia, D.5
  • 17
    • 84871925740 scopus 로고    scopus 로고
    • Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
    • C. Gonzalez et al., "Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing," Integr. VLSI J., vol. 46, no. 2, pp. 89-103, 2013.
    • (2013) Integr. VLSI J. , vol.46 , Issue.2 , pp. 89-103
    • Gonzalez, C.1
  • 18
    • 84880170205 scopus 로고    scopus 로고
    • A novel fault tolerant and runtime reconfigurable platform for satellite payload processing
    • Aug.
    • L. Sterpone, M. Porrmann, and J. Hagemeyer, "A novel fault tolerant and runtime reconfigurable platform for satellite payload processing," IEEE Trans. Comput., vol. 62, no. 8, pp. 1508-1525, Aug. 2013.
    • (2013) IEEE Trans. Comput. , vol.62 , Issue.8 , pp. 1508-1525
    • Sterpone, L.1    Porrmann, M.2    Hagemeyer, J.3
  • 20
    • 0023854011 scopus 로고
    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
    • Jan.
    • A. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
    • (1988) IEEE Trans. Geosci. Remote Sens. , vol.26 , Issue.1 , pp. 65-74
    • Green, A.1    Berman, M.2    Switzer, P.3    Craig, M.D.4
  • 21
    • 0030186112 scopus 로고    scopus 로고
    • Reliably estimating the noise in AVIRIS hyperspectral imagers
    • R. Roger and J. Arnold, "Reliably estimating the noise in AVIRIS hyperspectral imagers," Int. J. Remote Sens., vol. 17, no. 10, pp. 1951-1962, 1996.
    • (1996) Int. J. Remote Sens. , vol.17 , Issue.10 , pp. 1951-1962
    • Roger, R.1    Arnold, J.2
  • 25
    • 77951124876 scopus 로고    scopus 로고
    • A task graph execution manager for reconfigurable multi-tasking systems
    • Mar.
    • J. A. Clemente, C. Gonzalez, J. Resano, and D.Mozos, "A task graph execution manager for reconfigurable multi-tasking systems," Microprocess. Microsyst., vol. 34, no. 2-4, pp. 73-83, Mar. 2010.
    • (2010) Microprocess. Microsyst. , vol.34 , Issue.2-4 , pp. 73-83
    • Clemente, J.A.1    Gonzalez, C.2    Resano, J.3    Mozos, D.4
  • 29
    • 84906258501 scopus 로고    scopus 로고
    • Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUS
    • S. Sanchez and A. Plaza, "Fast determination of the number of endmembers for real-time hyperspectral unmixing on GPUs," J. Real-Time Image Process., vol. 9, no. 3, pp. 397-405, 2014.
    • (2014) J. Real-Time Image Process. , vol.9 , Issue.3 , pp. 397-405
    • Sanchez, S.1    Plaza, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.