{"id":"https://openalex.org/W2148625530","doi":"https://doi.org/10.1109/igarss.2008.4779043","title":"Analysis of an Information-Based Sensor Manager Applicable to Landmine Detection","display_name":"Analysis of an Information-Based Sensor Manager Applicable to Landmine Detection","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2148625530","doi":"https://doi.org/10.1109/igarss.2008.4779043","mag":"2148625530"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779043","doi":"https://doi.org/10.1109/igarss.2008.4779043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779043","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022353925","display_name":"Mark P. Kolba","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark P. Kolba","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004578492","display_name":"Leslie M. Collins","orcid":"https://orcid.org/0000-0002-9043-6531","observed_orcids":["https://orcid.org/0000-0002-9043-6531"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie M. Collins","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.743,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70169529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5204","issue":null,"first_page":"II","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.8032000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.8032000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.06260000169277191,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.061799999326467514,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sensor-management","display_name":"sensor management","score":0.9599999785423279},{"id":"https://openalex.org/keywords/landmine-detection","display_name":"landmine detection","score":0.9810000061988831},{"id":"https://openalex.org/keywords/information-gain","display_name":"information gain","score":0.6190000176429749},{"id":"https://openalex.org/keywords/kullback-leibler-divergence","display_name":"Kullback-Leibler divergence","score":0.902999997138977},{"id":"https://openalex.org/keywords/renyi-divergence","display_name":"R\u00e9nyi divergence","score":0.8320000171661377},{"id":"https://openalex.org/keywords/information-theoretic-measures","display_name":"information measures","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8274197578430176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864242553710938},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6727922558784485},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.5733236074447632},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5563805103302002},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4653953015804291},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.43510931730270386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4153267443180084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3610360324382782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2614437937736511},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14978331327438354},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08768895268440247},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2008.4779043","doi":"https://doi.org/10.1109/igarss.2008.4779043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779043","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2093378709","https://openalex.org/W2124393678","https://openalex.org/W2126843785","https://openalex.org/W2127176788","https://openalex.org/W2138699571","https://openalex.org/W2153296889","https://openalex.org/W2167696279"],"related_works":["https://openalex.org/W1971420560","https://openalex.org/W2070378074","https://openalex.org/W2009950764","https://openalex.org/W1969740378","https://openalex.org/W2096625555","https://openalex.org/W2126843785","https://openalex.org/W2019926625","https://openalex.org/W2153296889","https://openalex.org/W2055430226","https://openalex.org/W2113694218"],"abstract_inverted_index":{"Previously,":[0],"a":[1],"framework":[2],"for":[3,9],"sensor":[4,19,38,58,89,135],"management":[5],"has":[6],"been":[7],"developed":[8],"the":[10,24,30,45,54,63,66,88,103,110,126,130,134,138],"detection":[11],"of":[12,44,56,69,113,133],"static":[13],"targets":[14],"such":[15],"as":[16],"landmines.":[17],"The":[18],"manager":[20,59,136],"functions":[21],"by":[22],"tasking":[23],"available":[25],"sensors":[26,93],"to":[27,60,83,116],"greedily":[28],"maximize":[29],"expected":[31],"information":[32,114],"gain":[33],"obtained":[34],"with":[35,87],"each":[36],"new":[37],"observation.":[39],"This":[40,118],"paper":[41,74,119],"examines":[42,75],"several":[43],"key":[46],"assumptions":[47],"and":[48,65,100,141],"decisions":[49],"that":[50,121],"were":[51],"made":[52,128],"in":[53,122,129],"formulation":[55,132],"this":[57,73],"assess":[61],"both":[62],"validity":[64],"performance":[67,85],"effects":[68],"these":[70],"decisions.":[71],"Specifically,":[72],"which":[76],"unmanaged":[77],"sensing":[78],"technique":[79],"is":[80,109],"best":[81,111],"used":[82],"make":[84],"comparisons":[86],"manager,":[90],"whether":[91,102],"multiple":[92],"should":[94],"be":[95],"optimized":[96],"independently":[97],"or":[98,106],"jointly,":[99],"finally":[101],"Kullback-Leibler":[104],"divergence":[105,108],"Renyi":[107],"choice":[112],"measure":[115],"use.":[117],"demonstrates":[120],"all":[123],"three":[124],"cases,":[125],"choices":[127],"original":[131],"are":[137],"most":[139],"effective":[140],"appropriate.":[142]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}