Polarimetric Synthetic Aperture Radar Ship Potential Area Extraction Based on Neighborhood Semantic Differences of the Latent Dirichlet Allocation Bag-of-Words Topic Model. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Weixing_Qiu>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Zongxu_Pan>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.3390%2Frs15235601>
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dc:identifier	DBLP journals/remotesensing/QiuP23 (xsd:string)
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dcterms:issued	2023 (xsd:gYear)
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rdfs:label	Polarimetric Synthetic Aperture Radar Ship Potential Area Extraction Based on Neighborhood Semantic Differences of the Latent Dirichlet Allocation Bag-of-Words Topic Model. (xsd:string)
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swrc:month	December (xsd:string)
swrc:number	23 (xsd:string)
swrc:pages	5601 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing15.html#QiuP23>
rdfs:seeAlso	<https://doi.org/10.3390/rs15235601>
dc:title	Polarimetric Synthetic Aperture Radar Ship Potential Area Extraction Based on Neighborhood Semantic Differences of the Latent Dirichlet Allocation Bag-of-Words Topic Model. (xsd:string)
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