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Volumn 45, Issue 21, 2006, Pages 5223-5236

Some practical issues in anomaly detection and exploitation of regions of interest in hyperspectral images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; OPTICAL CORRELATION; OPTICAL RESOLVING POWER; PATTERN RECOGNITION;

EID: 33748687594     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.45.005223     Document Type: Article
Times cited : (10)

References (23)
  • 1
    • 0028467206 scopus 로고
    • Detection of low probability subpixel targets in hyperspectral image sequences with unknown backgrounds
    • J. C. Harsanyi and C. I. Chang, "Detection of low probability subpixel targets in hyperspectral image sequences with unknown backgrounds," IEEE Trans. Geosci. Remote Sens. 32, 779-785 (1994).
    • (1994) IEEE Trans. Geosci. Remote Sens. , vol.32 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.I.2
  • 2
    • 0034427317 scopus 로고    scopus 로고
    • Target-constrained interference-minimized approach to subpixel target detection for hyperspectral images
    • H. Ren and C. I. Chang, "Target-constrained interference-minimized approach to subpixel target detection for hyperspectral images," Opt. Eng. 39, 3138-3145 (2000).
    • (2000) Opt. Eng. , vol.39 , pp. 3138-3145
    • Ren, H.1    Chang, C.I.2
  • 4
    • 85032751277 scopus 로고    scopus 로고
    • Detection algorithms for hyperspectral imaging applications
    • D. G. Manolakis and G. A. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag. 19, 29-43 (2002).
    • (2002) IEEE Signal Process. Mag. , vol.19 , pp. 29-43
    • Manolakis, D.G.1    Shaw, G.A.2
  • 6
    • 0025508756 scopus 로고
    • Adaptive multiple band for detection of an optical pattern with unknown spectral distribution
    • I. S. Reed and X. Yu, "Adaptive multiple band for detection of an optical pattern with unknown spectral distribution," IEEE Trans. Acoust. Speech Signal Process. 38, 1760-1770 (1990).
    • (1990) IEEE Trans. Acoust. Speech Signal Process. , vol.38 , pp. 1760-1770
    • Reed, I.S.1    Yu, X.2
  • 7
    • 0027646809 scopus 로고
    • Comparative performance analysis of adaptive multispectral detectors
    • X. Yu, I. S. Reed, and A. D. Stocker, "Comparative performance analysis of adaptive multispectral detectors," IEEE Trans. Signal Process. 41, 2639-2656 (1993).
    • (1993) IEEE Trans. Signal Process. , vol.41 , pp. 2639-2656
    • Yu, X.1    Reed, I.S.2    Stocker, A.D.3
  • 8
  • 11
    • 0033685691 scopus 로고    scopus 로고
    • Comparative analysis of hyperspectral adaptive matched filter detectors
    • Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, S. S. Chen and M. R. Descour, eds.
    • D. G. Manolakis, G. A. Shaw, and N. Keshava, "Comparative analysis of hyperspectral adaptive matched filter detectors," in Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, S. S. Chen and M. R. Descour, eds., Proc. SPIE 4049, 2-17 (2000).
    • (2000) Proc. SPIE , vol.4049 , pp. 2-17
    • Manolakis, D.G.1    Shaw, G.A.2    Keshava, N.3
  • 13
    • 0023348923 scopus 로고
    • Effects of estimated noise covariance matrix in optimal signal detection
    • C. G. Khatri and R. Rao, "Effects of estimated noise covariance matrix in optimal signal detection," IEEE Trans. Acoust. Speech Signal Process. 35, 671-679 (1987).
    • (1987) IEEE Trans. Acoust. Speech Signal Process. , vol.35 , pp. 671-679
    • Khatri, C.G.1    Rao, R.2
  • 14
    • 17644362284 scopus 로고    scopus 로고
    • Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter
    • Unmanned/Unattended Sensors and Sensor Networks, E. Carapezza, ed.
    • I. Kasen, P. A. Goa, and T. Skauli, "Target detection in hyperspectral images based on multicomponent statistical models for representation of background clutter," in Unmanned/Unattended Sensors and Sensor Networks, E. Carapezza, ed., Proc. SPIE 5612, 258-264 (2004).
    • (2004) Proc. SPIE , vol.5612 , pp. 258-264
    • Kasen, I.1    Goa, P.A.2    Skauli, T.3
  • 15
    • 17644389209 scopus 로고    scopus 로고
    • Physical subspace models for invariant material identification: Subspace composition and detection performance
    • Optics in Atmospheric Propagation and Adaptive Systems VII, J. D. Gonglewski and K. Stein, eds.
    • P. E. Goa, T. Skauli, I. Kasen, T. V. Haavardsholm, and A. Rodningsby, "Physical subspace models for invariant material identification: subspace composition and detection performance," in Optics in Atmospheric Propagation and Adaptive Systems VII, J. D. Gonglewski and K. Stein, eds., Proc. SPIE 5573, 203-214 (2004).
    • (2004) Proc. SPIE , vol.5573 , pp. 203-214
    • Goa, P.E.1    Skauli, T.2    Kasen, I.3    Haavardsholm, T.V.4    Rodningsby, A.5
  • 16
    • 3042605361 scopus 로고    scopus 로고
    • Statistical decision theory II
    • Detection Theory, Prentice-Hall
    • S. M. Kay, "Statistical decision theory II," in Detection Theory, Vol. II of Fundamentals of Statistical Signal Processing (Prentice-Hall, 1998), pp. 186-247.
    • (1998) Fundamentals of Statistical Signal Processing , vol.2 , pp. 186-247
    • Kay, S.M.1
  • 18
    • 0035171347 scopus 로고    scopus 로고
    • Automated optimal channel selection for spectral imaging sensors
    • Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds.
    • J. Gruninger, R. L. Sundberg, M. J. Fox, R. Levine, W. F. Mundkowsky, M. S. Salisbury, and A. H. Ratcliff, "Automated optimal channel selection for spectral imaging sensors," in Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds., Proc. SPIE 4381, 68-75 (2001).
    • (2001) Proc. SPIE , vol.4381 , pp. 68-75
    • Gruninger, J.1    Sundberg, R.L.2    Fox, M.J.3    Levine, R.4    Mundkowsky, W.F.5    Salisbury, M.S.6    Ratcliff, A.H.7
  • 19
    • 0035166677 scopus 로고    scopus 로고
    • Band selection from a hyperspectral datacube for a real-time multispectral 3ccd camera
    • Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds.
    • P. E. Withagen, E. den Breejen, E. M. Franken, A. N. de Jong, and H. Winkel, "Band selection from a hyperspectral datacube for a real-time multispectral 3ccd camera," in Algorithms for Multispectral, Hyperspectral and Ultraspectral Imagery VII, S. S. Shen and M. R. Descour, eds., Proc. SPIE 4381, 84-93 (2001).
    • (2001) Proc. SPIE , vol.4381 , pp. 84-93
    • Withagen, P.E.1    Den Breejen, E.2    Franken, E.M.3    De Jong, A.N.4    Winkel, H.5
  • 20
    • 4143064738 scopus 로고    scopus 로고
    • Methodology for hyperspectral band selection
    • P. Bajcsy and P. Groves, "Methodology for hyperspectral band selection," Photogram. Eng. Remote Sens. 70, 793-802 (2004).
    • (2004) Photogram. Eng. Remote Sens. , vol.70 , pp. 793-802
    • Bajcsy, P.1    Groves, P.2
  • 21
    • 18844367208 scopus 로고    scopus 로고
    • Band selection based on feature weighting for classification of hyperspectral data
    • R. Huang and M. He, "Band selection based on feature weighting for classification of hyperspectral data," IEEE Geosci. Remote Sens. Lett. 2, 156-159 (2005).
    • (2005) IEEE Geosci. Remote Sens. Lett. , vol.2 , pp. 156-159
    • Huang, R.1    He, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.