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Volumn 42, Issue 4, 2006, Pages 1372-1385

Automatic target recognition for hyperspectral imagery using high-order statistics

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; IMAGE SENSORS; PROBABILITY; STATISTICS; TARGET TRACKING;

EID: 33947653188     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2006.314578     Document Type: Article
Times cited : (69)

References (24)
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    • Detection of subpixel anaomalies in multispectral infrared imagery using an adaptive Bayesian classifier
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    • N-finder: An algorithm for fast autonomous spectral endmember determination in hyperspectral data
    • Image Spectrometry V
    • Winter, M. E. N-finder: An algorithm for fast autonomous spectral endmember determination in hyperspectral data. In Proceedings of SPIE, Image Spectrometry V, vol. 3753, 266-277.
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    • Winter, M.E.1
  • 12
    • 0035273728 scopus 로고    scopus 로고
    • Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery
    • Heinz, D., and Chang, C.-I Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 39, 3 (2001), 529-545.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.3 , pp. 529-545
    • Heinz, D.1    Chang, C.-I.2
  • 18
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    • Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
    • Harsanyi, J. C., and Chang, C.-I Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach. IEEE Transactions on Geoscience and Remote Sensing, 32, 4 (1994), 779-785.
    • (1994) IEEE Transactions on Geoscience and Remote Sensing , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 19
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    • Independent component analysis approach to endmember extraction
    • To be submitted
    • Wang, J., and Chang, C.-I Independent component analysis approach to endmember extraction. To be submitted.
    • Wang, J.1    Chang, C.-I.2
  • 20
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • Chang, C-I, and Du, Q. Estimation of number of spectrally distinct signal sources in hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 42, 3 (2004), 608-619.
    • (2004) IEEE Transactions on Geoscience and Remote Sensing , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.-I.1    Du, Q.2
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    • A transformation for ordering multispectral data in terms of image quality with implications for noise removal
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.