The comparison of PCA and discrete rough set for feature extraction of remote sensing image classification - A case study on rice classification, Taiwan

DOI10.1007/S10596-007-9057-7zbMath1153.94307OpenAlexW2145102530MaRDI QIDQ925998

Elsie Sterbin Gottlieb

Publication date: 26 May 2008

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-007-9057-7

zbMATH Keywords

image classificationPCAdiscrete rough setknowledge rules

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• An illustration of variable precision rough set theory: the gender classification of the European barn swallow (\textit{Hirundo rustica})
• An application of rough set theory to defect detection of automotive glass
• Rough sets
• Rough set methods in feature selection and recognition

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