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Multispectral image...
Multispectral image classification using wavelets : a simulation study
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- Yu, Jun, 1962- (författare)
- Centre of Biostochastics, Swedish University of Agricultural Sciences, Umeå, Sweden
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- Ekström, Magnus, 1966- (författare)
- Centre of Biostochastics, Swedish University of Agricultural Sciences, Umeå, Sweden
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(creator_code:org_t)
- Elsevier, 2003
- 2003
- Engelska.
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Ingår i: Pattern Recognition. - : Elsevier. - 0031-3203 .- 1873-5142. ; 36:4, s. 889-898
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This work presents methods for multispectral image classification using the discrete wavelet transform. Performance of some conventional classification methods is evaluated, through a Monte Carlo study, with or without using the wavelet transform. Spatial autocorrelation is present in the computer-generated data on different scenes, and the misclassification rates are compared. The results indicate that the wavelet-based method performs best among the methods under study.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Contextual classification
- wavelet
- spatial autocorrelation
- multispectral imagery
- Monte Carlo study
- remote sensing
- Mathematical Statistics
- matematisk statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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