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Image Classication using Wavelets with Application to Forestry
SLU, Department of Forest Resource Management and Geomatics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
SLU, Department of Forest Resource Management and Geomatics.
2000 (English)In: Proceedings of the 5th International Conference on Methodological Issues in Official Statistics, 2000Conference paper, Published paper (Refereed)
Abstract [en]

This work presents methods for image classication using the discrete wavelet transform. Performance of some conventional classication methods is evaluated, throughboth a Monte Carlo study and a real Landsat TM image together with the National Forest Inventory (NFI) eld data, with or without using the wavelet transform. In our evaluation on the real data, the bootstrap is applied to estimate classication errors. The results indicate that the wavelet based method performs best among the methods under study.

Place, publisher, year, edition, pages
2000.
Keyword [en]
Contextual classication, wavelet, Landsat TM, bootstrap estimate
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-63702OAI: oai:DiVA.org:umu-63702DiVA: diva2:582410
Conference
The 5th International Conference on Methodological Issues in Official Statistics, Stockholm, October 2000
Available from: 2013-01-04 Created: 2013-01-04 Last updated: 2014-01-20Bibliographically approved

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CiteExportLink to record
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Citation style
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