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Volumn 5, Issue 2, 2012, Pages 462-469

Practical evaluation of max-type detectors for hyperspectral images

Author keywords

Hyperspectral imagery; matched filter; max type detector; target detection; target size; target strength

Indexed keywords

DETECTION CAPABILITY; EVALUATION TOOL; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGERY; IMAGE PIXELS; MAN-MADE MATERIALS; NUMERICAL RESULTS; SMALL TARGETS; SPECTRAL CLUSTERING; SPECTRAL DATA; SPECTRAL SIGNAL; TARGET SIZE; TARGET STRENGTH; URBAN SCENES;

EID: 84861756685     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2188278     Document Type: Article
Times cited : (10)

References (14)
  • 1
    • 85032751277 scopus 로고    scopus 로고
    • Detection algorithms for hyperspectral imaging applications
    • DOI 10.1109/79.974724
    • D. Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 29-43, Jan. 2002. (Pubitemid 34237206)
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 29-43
    • Manolakis, D.G.1    Shaw, G.2
  • 2
    • 33748672309 scopus 로고    scopus 로고
    • Hyperspectral detection algorithms: From old ideas to operational concepts to next generation
    • 623305
    • A. Schaum, "Hyperspectral detection algorithms: From old ideas to operational concepts to next generation," in Proc. SPIE, 2006, vol. 623305, 6233.
    • (2006) Proc. SPIE , pp. 6233
    • Schaum, A.1
  • 4
    • 33747584910 scopus 로고    scopus 로고
    • Realistic matched filter performance prediction for hyperspectral target detection
    • D.Manolakis, "Realistic matched filter performance prediction for hyperspectral target detection," Opt. Eng., vol. 44, p. 116401, 2005.
    • (2005) Opt. Eng. , vol.44 , pp. 116401
    • Manolakis, D.1
  • 5
    • 34347209724 scopus 로고    scopus 로고
    • Analytical comparison of the matched filter and orthogonal subspace projection detectors for hyperspectral images
    • DOI 10.1109/TGRS.2007.896544
    • P. Bajorski, "Analytical comparison of the matched filter and orthogonal subspace projection detectors for hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 7, pt. 2, pp. 2394-2402, Jul. 2007. (Pubitemid 47000305)
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , Issue.7 , pp. 2394-2402
    • Bajorski, P.1
  • 7
    • 4544305586 scopus 로고    scopus 로고
    • Hyperspectral signal models and implications to material detection algorithms
    • D. Manolakis, "Hyperspectral signal models and implications to material detection algorithms," in IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 2004, vol. 3, p. iii-117-20.
    • (2004) IEEE Int. Conf. Acoustics, Speech, and Signal Processing , vol.3
    • Manolakis, D.1
  • 8
    • 70350139696 scopus 로고    scopus 로고
    • Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images
    • A. Paz, A. Plaza, and J. Plaza, "Comparative analysis of different implementations of a parallel algorithm for automatic target detection and classification of hyperspectral images," in Proc. SPIE, 2009, vol. 7455, p. 74550X.
    • (2009) Proc. SPIE , vol.7455
    • Paz, A.1    Plaza, A.2    Plaza, J.3
  • 10
    • 84859783178 scopus 로고    scopus 로고
    • Generalized detection fusion for hyperspectral images
    • Apr.
    • P. Bajorski, "Generalized detection fusion for hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 4, pp. 1199-1205, Apr. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.4 , pp. 1199-1205
    • Bajorski, P.1
  • 12
    • 77949787894 scopus 로고    scopus 로고
    • Improved covariance matrices for point target detection in hyperspectral data
    • C. E. Caefer, J. Silverman, O. Orthal, D. Antonelli, Y. Sharoni, and S. R. Rotman, "Improved covariance matrices for point target detection in hyperspectral data," Opt. Eng., vol. 47, p. 076402, 2008.
    • (2008) Opt. Eng. , vol.47 , pp. 076402
    • Caefer, C.E.1    Silverman, J.2    Orthal, O.3    Antonelli, D.4    Sharoni, Y.5    Rotman, S.R.6
  • 13
    • 15944415063 scopus 로고    scopus 로고
    • Geometric basis-vector selection methods and subpixel target detection as applied to hyperspectral imagery
    • 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
    • P. Bajorski and E. Ientilucci, "Geometric basis-vector selection methods and subpixel target detection as applied to hyperspectral imagery," in Proc. IEEE Int. Geoscience and Remote Sensing Symp., Anchorage, AK, Sep. 2004, vol. 5, pp. 3211-3214. (Pubitemid 40437776)
    • (2004) International Geoscience and Remote Sensing Symposium (IGARSS) , vol.5 , pp. 3211-3214
    • Bajorski, P.1    Ientilucci, E.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.