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Volumn 2, Issue 2, 2005, Pages 192-195

On the impact of PCA dimension reduction for hyperspectral detection of difficult targets

Author keywords

Adaptive detection; Dimension reduction; Hyperspectral imaging (HSI)

Indexed keywords

COMPUTATIONAL METHODS; DATA PROCESSING; IMAGE SENSORS; MATHEMATICAL TRANSFORMATIONS; MAXIMUM LIKELIHOOD ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; SENSOR DATA FUSION;

EID: 18844429782     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2005.846011     Document Type: Article
Times cited : (268)

References (22)
  • 2
    • 0037934716 scopus 로고    scopus 로고
    • Automatic reduction of hyperspectral imagery using wavelet spectral analysis
    • Apr.
    • S. Kaewpijit, J. Le Moigne, and T. El-Ghazawi, "Automatic reduction of hyperspectral imagery using wavelet spectral analysis," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 4, pp. 863-871, Apr. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.4 , pp. 863-871
    • Kaewpijit, S.1    Le Moigne, J.2    El-Ghazawi, T.3
  • 3
    • 0033224771 scopus 로고    scopus 로고
    • Hyperspectral data analysis and supervised feature reduction via projection pursuit
    • Nov.
    • L. Jimenez and D. Landgrebe, "Hyperspectral data analysis and supervised feature reduction via projection pursuit," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 6, pp. 2653-2667, Nov. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sens. , vol.37 , Issue.6 , pp. 2653-2667
    • Jimenez, L.1    Landgrebe, D.2
  • 7
    • 0022686270 scopus 로고
    • An adaptive detection algorithm
    • Jan.
    • E. J. Kelly, "An adaptive detection algorithm," IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, no. 1, pp. 115-127, Jan. 1986.
    • (1986) IEEE Trans. Aerosp. Electron. Syst. , vol.AES-22 , Issue.1 , pp. 115-127
    • Kelly, E.J.1
  • 8
    • 18844450323 scopus 로고    scopus 로고
    • Adaptive matched subspace detectors and adaptive coherence
    • Pacific Grove, CA
    • L. L. Scharf and L. T. McWhorter, "Adaptive matched subspace detectors and adaptive coherence," presented at the IEEE Asilomar Conf. Signals and Systems, Pacific Grove, CA, 1996.
    • (1996) IEEE Asilomar Conf. Signals and Systems
    • Scharf, L.L.1    McWhorter, L.T.2
  • 9
    • 0030617350 scopus 로고    scopus 로고
    • Mapping the distribution of mine tailings in the Coeur d'Alene valley though the use of a constrained energy minimization technique
    • W. H. Farrand and J. C. Harsanyi, "Mapping the distribution of mine tailings in the Coeur d'Alene valley though the use of a constrained energy minimization technique," Remote Sens. Environ., vol. 59, pp. 64-76, 1997.
    • (1997) Remote Sens. Environ. , vol.59 , pp. 64-76
    • Farrand, W.H.1    Harsanyi, J.C.2
  • 10
    • 0028467206 scopus 로고
    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • May
    • 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. 3, pp. 779-785, May 1994.
    • (1994) IEEE Trans. Geosci. Remote Sens. , vol.32 , Issue.3 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 11
  • 12
    • 0035166678 scopus 로고    scopus 로고
    • Compact Airborne Spectral Sensor (COMPASS)
    • C. Simi, E. Winter, M. Williams, and D. Driscoll, "Compact Airborne Spectral Sensor (COMPASS)," Proc. SPIE, vol. 4381, pp. 129-136, 2001.
    • (2001) Proc. SPIE , vol.4381 , pp. 129-136
    • Simi, C.1    Winter, E.2    Williams, M.3    Driscoll, D.4
  • 13
    • 1942455246 scopus 로고    scopus 로고
    • Recent results from AHI: A LWIR hyperspectral imager
    • P. Lucey, T. Williams, and M. Winter, "Recent results from AHI: A LWIR hyperspectral imager," Proc. SPIE, vol. 5159, pp. 361-369, 2003.
    • (2003) Proc. SPIE , vol.5159 , pp. 361-369
    • Lucey, P.1    Williams, T.2    Winter, M.3
  • 14
    • 0042883921 scopus 로고    scopus 로고
    • Spatially smooth partitioning of hyperspectral imagery using spectral/spatial measures of disparity
    • Jun.
    • S. Rand and D. Keenan, "Spatially smooth partitioning of hyperspectral imagery using spectral/spatial measures of disparity," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1479-1490, Jun. 2003.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , Issue.6 , pp. 1479-1490
    • Rand, S.1    Keenan, D.2
  • 15
    • 0242712308 scopus 로고    scopus 로고
    • Support vector machines for hyperspectral image classification with spectral-based kernels
    • Toulouse, France, Jul. 21-25
    • G. Mercier and M. Lennon, "Support vector machines for hyperspectral image classification with spectral-based kernels," in Proc. IGARSS, vol. 1, Toulouse, France, Jul. 21-25, 2003, pp. 288-290.
    • (2003) Proc. IGARSS , vol.1 , pp. 288-290
    • Mercier, G.1    Lennon, M.2
  • 16
    • 0032224149 scopus 로고    scopus 로고
    • Effects of hyperspectral compression on nonliteral exploitation
    • S. Shen and B. Beard, "Effects of hyperspectral compression on nonliteral exploitation," Proc. SPIE, vol. 3438, pp. 191-195, 1998.
    • (1998) Proc. SPIE , vol.3438 , pp. 191-195
    • Shen, S.1    Beard, B.2
  • 19
    • 18844387771 scopus 로고    scopus 로고
    • Comparison of adaptive array processing schemes for land mine detection using hyperspectral imagery
    • San Diego, CA
    • _, "Comparison of adaptive array processing schemes for land mine detection using hyperspectral imagery," presented at the SPIE Conf. Signal Data Processing of Small Targets, San Diego, CA, 2005.
    • (2005) SPIE Conf. Signal Data Processing of Small Targets
  • 20
    • 3843151477 scopus 로고    scopus 로고
    • Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries
    • Jul.
    • N. Keshava, "Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1552-1565, Jul. 2004.
    • (2004) IEEE Trans. Geosci. Remote Sens. , vol.42 , Issue.7 , pp. 1552-1565
    • Keshava, N.1
  • 21
    • 0023854011 scopus 로고    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. Craig, "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 1, pp. 65-74, Jan. 1998.
    • (1998) IEEE Trans. Geosci. Remote Sens. , vol.36 , Issue.1 , pp. 65-74
    • Green, A.1    Berman, M.2    Switzer, P.3    Craig, M.4
  • 22
    • 0025430387 scopus 로고
    • Enhancement of high spectral resolution remote sensing data by a noise adjusted principal components transform
    • May
    • J. Lee, S. Woodyatt, and M. Berman, "Enhancement of high spectral resolution remote sensing data by a noise adjusted principal components transform," IEEE Trans. Geosci. Remote Sens., vol. 28, no. 3, pp. 295-304, May 1990.
    • (1990) IEEE Trans. Geosci. Remote Sens. , vol.28 , Issue.3 , pp. 295-304
    • Lee, J.1    Woodyatt, S.2    Berman, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.