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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72461
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dc.titleAdaptive filtering algorithms for SAR speckle reduction
dc.contributor.authorLu, Y.H.
dc.contributor.authorTan, S.Y.
dc.contributor.authorYeo, T.S.
dc.contributor.authorNg, W.E.
dc.contributor.authorLim, I.
dc.contributor.authorZhang, C.B.
dc.date.accessioned2014-06-19T05:08:19Z
dc.date.available2014-06-19T05:08:19Z
dc.date.issued1996
dc.identifier.citationLu, Y.H.,Tan, S.Y.,Yeo, T.S.,Ng, W.E.,Lim, I.,Zhang, C.B. (1996). Adaptive filtering algorithms for SAR speckle reduction. International Geoscience and Remote Sensing Symposium (IGARSS) 1 : 67-69. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72461
dc.description.abstractSpeckle noise in synthetic aperture radar (SAR) images reduces target feature detection. Two of the better known post-processing speckle suppression filters are the Lee (1986) and Kuan filter (1987). In this paper, we present modifications that have been made to the Lee and Kuan filters, such that there is an improvement in speckle suppression in regions of large back-scattering variations. Improvement over the original algorithms are illustrated using SEASAT images of Flevoland (Netherlands). Quantitative measures of performance for various types simulated terrain will also be presented.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.volume1
dc.description.page67-69
dc.description.codenIGRSE
dc.identifier.isiutNOT_IN_WOS
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