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Volumn 4725, Issue , 2002, Pages 490-500

On relationship among orthogonal subspace projection, constrained energy minimization and RX-algorithm

Author keywords

Constrained energy minimization (CEM); Matched filter; Orthogonal subspace projection (OSP); RX algorithm

Indexed keywords

ALGORITHMS; FIR FILTERS; IMAGE ENHANCEMENT; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTIMIZATION;

EID: 0036912095     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.478782     Document Type: Conference Paper
Times cited : (9)

References (12)
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  • 6
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    • Image endmember-constrained interference-minimized approach to subpixel image endmember detection for hyperspectral imagery
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    • H. Ren and C.-I Chang, "Image endmember-constrained interference-minimized approach to subpixel image endmember detection for hyperspectral imagery." Optical Engineering, vol. 39, no. 12, pp. 3138-3145, December 2000.
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    • Ren, H.1    Chang, C.-I.2
  • 7
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    • Further results on relationship between spectral unmixing and subspace projection
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    • On the relationship between spectral unmixing and subspace projection
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  • 9
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    • Least squares subspace projection approach to mixed pixel classification in hyperspectral images
    • May
    • C.-I Chan, X. Zhao, M.L.G. Althouse and J.-J. Pan, "Least squares subspace projection approach to mixed pixel classification in hyperspectral images," IEEE Trans on Geoscience and Remote Sensing, vol. 36, no. 3, pp. 898-912, May 1998.
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    • Subpixel spectral detection for remotely images
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.