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Volumn 5, Issue , 2009, Pages

Classification performance of random-projection-based dimensionality reduction of hyperspectral imagery

Author keywords

Dimensionality reduction; Hyperspectral imagery; Random projection

Indexed keywords

CLASS SEPARATION; CLASSIFICATION PERFORMANCE; COMPUTATIONAL COSTS; COMPUTATIONAL RESOURCES; DETECTION PERFORMANCE; DIMENSIONALITY REDUCTION; HIGH DIMENSIONAL DATA; HYPERSPECTRAL IMAGERY; QUALITY MEASURES; RANDOM PROJECTIONS; REMOTE DEVICES; SIGNAL ACQUISITIONS;

EID: 77950937101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2009.5417730     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 1
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    • Candès, E.J.1    Wakin, M.B.2
  • 2
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    • Compressive-projection principal component analysis for the compression of hyperspectral signatures
    • J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March
    • J. E. Fowler, "Compressive-projection principal component analysis for the compression of hyperspectral signatures," in Proceedings of the IEEE Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2008, pp. 83-92.
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    • Fowler, J.E.1
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    • -, "Compressive-projection principal component analysis and the first eigenvector," in Proceedings of the IEEE Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2009, pp. 223-232.
    • (2009) Proceedings of the IEEE Data Compression Conference , pp. 223-232
  • 4
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    • 55649112896 scopus 로고    scopus 로고
    • Anomaly-based JPEG2000 compression of hyperspectral imagery
    • October
    • Q. Du, W. Zhu, and J. E. Fowler, "Anomaly-based JPEG2000 compression of hyperspectral imagery," IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 4, pp. 696-700, October 2008.
    • (2008) IEEE Geoscience and Remote Sensing Letters , vol.5 , Issue.4 , pp. 696-700
    • Du, Q.1    Zhu, W.2    Fowler, J.E.3
  • 6
    • 55649122577 scopus 로고    scopus 로고
    • Limitations of principal component analysis for hyperspectral target recognition
    • S. Prasad and L. M. Bruce, "Limitations of principal component analysis for hyperspectral target recognition," IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 4, pp. 625-629, 2008.
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  • 7
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  • 8
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  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.