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Digital change detection with the aid of multiresolution wavelet analysis

L. M.T. Carvalho, L. M.G. Fonseca, F. Murtagh, J. G.P.W. Clevers

Research output: Contribution to journalArticlepeer-review

Abstract

This Letter presents the preliminary findings of a new approach to deal with misregistration effects on change detection results. A multiresolution analysis with wavelet transforms applied to image differencing results enabled the extraction of changed sites according to size classes. Changes of interest were pinpointed successfully without the necessity of accurate spatial registration or radiometric rectification while differences not related to land cover changes were bypassed. The method's applicability is demonstrated with a multitemporal data set of Landsat MSS and TM images for the detection of deforestation and new areas of rock exploitation in south-eastern Brazil.

Original languageEnglish
Pages (from-to)3871-3876
Number of pages6
JournalInternational Journal of Remote Sensing
Volume22
Issue number18
DOIs
Publication statusPublished - 15 Dec 2001
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

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