{"id":"https://openalex.org/W2101718415","doi":"https://doi.org/10.1109/icsdm.2011.5969058","title":"Boosting the semantics sensitive satellite image retrieval using a voting algorithm","display_name":"Boosting the semantics sensitive satellite image retrieval using a voting algorithm","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2101718415","doi":"https://doi.org/10.1109/icsdm.2011.5969058","mag":"2101718415"},"language":"en","primary_location":{"id":"doi:10.1109/icsdm.2011.5969058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2011.5969058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services","raw_type":"proceedings-article"},"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/A5100730908","display_name":"Yikun Li","orcid":"https://orcid.org/0000-0002-3811-5618"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Li","raw_affiliation_strings":["School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou, China","School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University Mailbox 504 Lanzhou Jiaotong University, Lanzhou 730070, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University Mailbox 504 Lanzhou Jiaotong University, Lanzhou 730070, P.R. China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111739213","display_name":"Xiao-Yuan Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyuan Dong","raw_affiliation_strings":["School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou, China","School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University Mailbox 504 Lanzhou Jiaotong University, Lanzhou 730070, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University, Lanzhou, China","institution_ids":["https://openalex.org/I3133134087"]},{"raw_affiliation_string":"School of Mathematics, Physics and Software Engineering, Lanzhou Jiaotong University Mailbox 504 Lanzhou Jiaotong University, Lanzhou 730070, P.R. China","institution_ids":["https://openalex.org/I3133134087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3133134087"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689557075500488},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.7033913135528564},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6585174202919006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5876145362854004},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.587425708770752},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5663516521453857},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5175875425338745},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.4903731346130371},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4825996160507202},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4739691913127899},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4287331700325012},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4274847209453583},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.42624345421791077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41701966524124146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4144953787326813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35226619243621826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34297096729278564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28585106134414673},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07395210862159729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689557075500488},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.7033913135528564},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6585174202919006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5876145362854004},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.587425708770752},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5663516521453857},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5175875425338745},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.4903731346130371},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4825996160507202},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4739691913127899},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4287331700325012},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4274847209453583},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42624345421791077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41701966524124146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4144953787326813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35226619243621826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34297096729278564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28585106134414673},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07395210862159729},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsdm.2011.5969058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2011.5969058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W2133317015","https://openalex.org/W2136912609","https://openalex.org/W2149140633","https://openalex.org/W2156575832","https://openalex.org/W2167272763"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1518215897","https://openalex.org/W2333896121","https://openalex.org/W2583763619","https://openalex.org/W2145073242"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,9,56,70],"semantic":[4,18,75],"inference":[5,45],"approach,":[6],"which":[7],"utilizes":[8],"group":[10,64],"of":[11,50,65,87,97],"context-sensitive":[12,100],"Bayesian":[13,41,67,101],"networks":[14,68],"to":[15,61],"infer":[16],"the":[17,44,51,63,66,85,88,98],"concepts":[19],"based":[20,46],"on":[21,47],"different":[22],"regional":[23,52],"spatial":[24,53],"relationships,":[25],"i.e.":[26],"disjoined,":[27],"bordering,":[28],"invaded":[29],"by,":[30,32],"surrounded":[31],"near,":[33],"far,":[34],"right,":[35],"left,":[36],"above":[37],"and":[38,73],"below.":[39],"Each":[40],"network":[42],"performs":[43],"one":[48],"kind":[49],"relationships.":[54],"Finally,":[55],"voting":[57,90],"algorithm":[58,91],"is":[59,92],"proposed":[60,89],"combine":[62],"into":[69],"more":[71],"accurate":[72],"robust":[74],"concept":[76],"classifier.":[77],"The":[78],"experiments":[79],"using":[80],"IKONOS":[81],"imagery":[82],"show":[83],"that":[84,96],"precision":[86],"consistently":[93],"higher":[94],"than":[95],"single":[99],"network.":[102]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
