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Volumn 4719, Issue , 2002, Pages 95-106

Automatic classification of noise for infrared images into processes by means of the principal component analysis

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER SIMULATION; COMPUTER SOFTWARE; EIGENVALUES AND EIGENFUNCTIONS; FOURIER TRANSFORMS; IMAGE ANALYSIS; IMAGING SYSTEMS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; WHITE NOISE;

EID: 0036912738     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.477455     Document Type: Conference Paper
Times cited : (5)

References (13)
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    • Mitéran, J.1    Zimmer, J.P.2    Yang, F.3    Paindavoine, M.4
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    • Assessment and robust reconstruction of laser radar signals
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    • Rothe, H.1    Ginter, O.2    Woldenga, C.3
  • 7
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    • Principal components characterization of noise for infrared images
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    • López-Alonso, J.M.1    Alda, J.2    Bernabéu, E.3
  • 8
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    • (1998) , pp. 62-71
    • Boreman, G.D.1
  • 9
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    • Testing and evaluation of infrared imaging systems
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    • (1998) , pp. 217-251
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  • 10
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    • Responsivity non uniformity limited performance of infrared staring cameras
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.