A Generalized Labeled Multi-Bernoulli Filter Based on Track-before-Detect Measurement Model for Multiple-Weak-Target State Estimate Using Belief Propagation. | 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/Chenghu_Cao>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yong-Bo_Zhao_0001>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.3390%2Frs14174209>
foaf:homepage	<https://doi.org/10.3390/rs14174209>
dc:identifier	DBLP journals/remotesensing/CaoZ22 (xsd:string)
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dcterms:issued	2022 (xsd:gYear)
swrc:journal	<https://dblp.l3s.de/d2r/resource/journals/remotesensing>
rdfs:label	A Generalized Labeled Multi-Bernoulli Filter Based on Track-before-Detect Measurement Model for Multiple-Weak-Target State Estimate Using Belief Propagation. (xsd:string)
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swrc:pages	4209 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#CaoZ22>
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dc:title	A Generalized Labeled Multi-Bernoulli Filter Based on Track-before-Detect Measurement Model for Multiple-Weak-Target State Estimate Using Belief Propagation. (xsd:string)
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