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Volumn , Issue , 2010, Pages

Iterative spatial filtering for reducing intra-class spectral variability and noise

Author keywords

Hypersepctral; Intraclass variability; Spatial filtering

Indexed keywords

ADAPTIVE SMOOTHING; DATA VOLUME; DENSITY DISTRIBUTIONS; FILTER IMAGES; HYPERSEPCTRAL; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; INTRACLASS VARIABILITY; PIXEL NOISE; ROOT-MEAN-SQUARED; SPATIAL CHARACTERISTICS; SPATIAL FILTERINGS; SPECTRAL ANGLES; SPECTRAL CLASS; SPECTRAL DIFFERENCES; SPECTRAL SIMILARITY; SPECTRAL VARIABILITY; WEIGHTING FUNCTIONS;

EID: 78649277003     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2010.5594871     Document Type: Conference Paper
Times cited : (9)

References (5)
  • 1
    • 0001732499 scopus 로고    scopus 로고
    • Theoretical foundations of anisotropic diffusion in image processing
    • Theoretical Foundations of Computer Vision, ser. W. Kropatsch, R. Klette, and F. Solina, Eds. Wien, Austria: Springer-Verlag
    • J. Weicket, "Theoretical foundations of anisotropic diffusion in image processing, in Theoretical Foundations of Computer Vision," in ser. Computing Supplement, v. 11, W. Kropatsch, R. Klette, and F. Solina, Eds. Wien, Austria: Springer-Verlag, pp. 221-236, 1996.
    • (1996) Computing Supplement , vol.11 , pp. 221-236
    • Weicket, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.