@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    dct:description """
              This paper presents a likelihood ratio test based method of change detection and classification for synthetic aperture radar (SAR) time series, namely NORmalized Cut on chAnge criterion MAtrix (NORCAMA). This method involves three steps: 1) multi-temporal pre-denoising step over the whole image series to reduce the effect of the speckle noise; 2) likelihood ratio test based change criteria between two images using both the original noisy images and the denoised images; 3) change classification by a normalized cut based clustering-and-recognizing method on change criterion matrix (CCM). The experiments on both synthetic and real SAR image series show the effective performance of the proposed framework.
            """ ;
    dct:identifier "hal-00997786" ;
    dct:issued "2026-05-05T10:01:13.080431"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-05T10:01:13.080437"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "NORCAMA: Change Analysis in SAR Time Series by Likelihood Ratio Change Matrix Clustering" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00997786v1/resource/2ce421a8-357b-45a2-b8fc-86e701935d72> ;
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        "infoinfo-tscomputer-science-cssignal-and-image-processing",
        "reports",
        "spisignalengineering-sciences-physicssignal-and-image-processing" ;
    dcat:landingPage <https://hal.science/hal-00997786> .

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    dct:format "HTML" ;
    dct:issued "2026-05-05T10:01:13.083958"^^xsd:dateTime ;
    dct:modified "2026-05-05T10:01:13.074104"^^xsd:dateTime ;
    dct:title "NORCAMA: Change Analysis in SAR Time Series by Likelihood Ratio Change Matrix Clustering" ;
    dcat:accessURL <https://hal.science/hal-00997786> .

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<https://hal.science/hal-00997786> a foaf:Document .