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dc.contributor.authorHu, Dingsheng
dc.contributor.authorQiu, Xiaolan
dc.contributor.authorAnfinsen, Stian Normann
dc.contributor.authorLei, Bin
dc.date.accessioned2018-03-26T10:24:08Z
dc.date.available2018-03-26T10:24:08Z
dc.date.issued2017-03-01
dc.description.abstractEquivalent Number of Looks (ENL) is an important parameter in statistical modelling of multi-look Polarimetric SAR (PolSAR) data. In some automated applications of PolSAR images, it is necessary to estimate the ENL in an unsupervised way without any manual intervention. The existing unsupervised estimation of ENL can not obtain accurate estimates for the images with high heterogeneity. To address this issue, a novel unsupervised estimation method is proposed here. It combines the mixture elimination and clustering based on texture, which reduces the effect of two main heterogeneity factors, mixture and texture. The validity of this method is evaluated with simulated and real data of different complexity.en_US
dc.descriptionSource at <a href=http://dx.doi.org/10.11999/JEIT170014> http://dx.doi.org/10.11999/JEIT170014 </a>.en_US
dc.identifier.citationHu, D., Qiu, X., Anfinsen, S. N., Lei, B. (2017). Unsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneity. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology. 39(10):2287-2293en_US
dc.identifier.cristinIDFRIDAID 1571116
dc.identifier.doi10.11999/JEIT170014
dc.identifier.issn1009-5896
dc.identifier.urihttps://hdl.handle.net/10037/12441
dc.language.isochien_US
dc.publisherChinese Academy of Sciences, Institute of Electronicsen_US
dc.relation.journalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
dc.rights.accessRightsopenAccessen_US
dc.subjectPolarimetric SAR (PolSAR)en_US
dc.subjectProduct modelen_US
dc.subjectHeterogeneityen_US
dc.subjectEquivalent Number of Looks (ENL)en_US
dc.subjectUnsupervised estimationen_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427en_US
dc.titleUnsupervised Estimation of the Equivalent Number of Looks in PolSAR Image with High Heterogeneityen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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