@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#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00086790v1> a dcat:Dataset ;
    dct:description """
              Synthetic Aperture Sonar (SAS) imagery is largely used in detection, location, and classification of underwater mines laying or buried in the sea bed. This paper proposes a detection method using Higher Order Statistics (HOS) on SAS images. The proposed method can be divided into two steps. Firstly, the HOS (Skewness and Kurtosis) are locally estimated using a square sliding computation window. In a second step, the results are focused by a matched filtering. This enables the precise location of the objects. This method is tested on real SAS data containing both underwater mines laying on the seabed and buried objects.
            """ ;
    dct:identifier "hal-00086790" ;
    dct:issued "2026-05-09T13:20:10.243415"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-09T13:20:10.243419"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Higher Order Statistics for the Detection of Underwater Mines in SAS Imagery" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00086790v1/resource/2a68ef09-26b9-461e-ae95-5d2d6e63a39d> ;
    dcat:keyword "conference-papers",
        "detection",
        "higher-order-statistics",
        "infoeu-reposemanticsconferenceobject",
        "skewness-and-kurtosis",
        "sonar-imaging" ;
    dcat:landingPage <7th%20European%20Conference%20on%20Underwater%20Acoustics%20%28ECUA%2704%29> .

<7th%20European%20Conference%20on%20Underwater%20Acoustics%20%28ECUA%2704%29> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00086790v1/resource/2a68ef09-26b9-461e-ae95-5d2d6e63a39d> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-09T13:20:10.248581"^^xsd:dateTime ;
    dct:modified "2026-05-09T13:20:10.236300"^^xsd:dateTime ;
    dct:title "Higher Order Statistics for the Detection of Underwater Mines in SAS Imagery" ;
    dcat:accessURL <https://hal.science/hal-00086790> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .