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Volumn 47, Issue 28, 2008, Pages

Quantitative comparison of quadratic covariance-based anomalous change detectors

Author keywords

[No Author keywords available]

Indexed keywords

MOLECULAR PHYSICS; OPTICS;

EID: 60749113928     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.47.000F12     Document Type: Article
Times cited : (85)

References (17)
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    • Linear chromodynamics models for hyperspectral target detection
    • IEEE
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  • 6
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    • Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies
    • A. A. Nielsen, K. Conradsen, and J. J. Simpson, "Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: new approaches to change detection studies," Remote Sens. Environ. 64, 1-19 (1998).
    • (1998) Remote Sens. Environ , vol.64 , pp. 1-19
    • Nielsen, A.A.1    Conradsen, K.2    Simpson, J.J.3
  • 8
    • 35948936064 scopus 로고    scopus 로고
    • Resampling approach for anomalous change detection
    • J. Theiler and S. Perkins, "Resampling approach for anomalous change detection," Proc. SPIE 6565, 65651U (2007).
    • (2007) Proc. SPIE , vol.6565
    • Theiler, J.1    Perkins, S.2
  • 11
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    • Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
    • I. S. Reed and X. Yu, "Adaptive multiple-band CFAR 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
  • 13
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    • Hyperspectral change detection and supervised matched filtering based on covariance equalization
    • A. Schaum and A. Stocker, "Hyperspectral change detection and supervised matched filtering based on covariance equalization," Proc. SPIE 5425, 77-90 (2004).
    • (2004) Proc. SPIE , vol.5425 , pp. 77-90
    • Schaum, A.1    Stocker, A.2
  • 14
    • 28744442198 scopus 로고    scopus 로고
    • Advanced algorithms for autonomous hyperspectral change detection
    • IEEE Computer Society
    • A. Schaum and E. Allman, "Advanced algorithms for autonomous hyperspectral change detection," in the 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) (IEEE Computer Society, 2004), pp. 33-38.
    • (2004) 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) , pp. 33-38
    • Schaum, A.1    Allman, E.2
  • 16
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    • An image change detection algorithm based on Markov random field models
    • T. Kasetkasem and P. K. Varshney, "An image change detection algorithm based on Markov random field models," IEEE Trans. Geosci. Remote Sens. 40, 1815-1823 (2002).
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  • 17
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    • Sensitivity of anomalous change detection to small misregistration errors
    • J. Theiler, "Sensitivity of anomalous change detection to small misregistration errors," Proc. SPIE 6966, 69660X (2008).
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    • Theiler, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.