{"id":"https://openalex.org/W1947054375","doi":"https://doi.org/10.1109/lgrs.2015.2476365","title":"Remote Sensing Image Classification Exploiting Multiple Kernel Learning","display_name":"Remote Sensing Image Classification Exploiting Multiple Kernel Learning","publication_year":2015,"publication_date":"2015-09-25","ids":{"openalex":"https://openalex.org/W1947054375","doi":"https://doi.org/10.1109/lgrs.2015.2476365","mag":"1947054375"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2015.2476365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2476365","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1410.5358","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039582068","display_name":"Claudio Cusano","orcid":"https://orcid.org/0000-0001-9365-8167"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudio Cusano","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy","Dept. of Electr., Comput. & Biomed. Eng, Univ. of Pavia, Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Dept. of Electr., Comput. & Biomed. Eng, Univ. of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053344554","display_name":"Paolo Napoletano","orcid":"https://orcid.org/0000-0001-9112-0574"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Napoletano","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy","Dept. of Inf., Syst. & Commun., Univ. of Milano Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]},{"raw_affiliation_string":"Dept. of Inf., Syst. & Commun., Univ. of Milano Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028039581","display_name":"Raimondo Schettini","orcid":"https://orcid.org/0000-0001-7461-1451"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raimondo Schettini","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy","Dept. of Inf., Syst. & Commun., Univ. of Milano Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]},{"raw_affiliation_string":"Dept. of Inf., Syst. & Commun., Univ. of Milano Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039582068"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":null,"apc_paid":null,"fwci":6.7289,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96764552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"11","first_page":"2331","last_page":"2335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9854000210762024,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.885783314704895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8037750720977783},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7535851001739502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6814038753509521},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6435801982879639},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6360045671463013},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5758216381072998},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5749737620353699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5041862726211548},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5029048323631287},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4794786870479584},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4399268627166748},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34386011958122253},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3247515559196472},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28107690811157227},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2661558985710144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07133954763412476}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.885783314704895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037750720977783},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7535851001739502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6814038753509521},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6435801982879639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6360045671463013},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5758216381072998},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5749737620353699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5041862726211548},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5029048323631287},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4794786870479584},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4399268627166748},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34386011958122253},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3247515559196472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28107690811157227},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2661558985710144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07133954763412476},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lgrs.2015.2476365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2015.2476365","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1410.5358","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.5358","pdf_url":"https://arxiv.org/pdf/1410.5358","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:boa.unimib.it:10281/107308","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/107308","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1410.5358","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1410.5358","pdf_url":"https://arxiv.org/pdf/1410.5358","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W40885937","https://openalex.org/W1544008493","https://openalex.org/W1566135517","https://openalex.org/W1587559447","https://openalex.org/W1980038761","https://openalex.org/W1998902551","https://openalex.org/W2020912318","https://openalex.org/W2067178723","https://openalex.org/W2073201137","https://openalex.org/W2078495963","https://openalex.org/W2080692336","https://openalex.org/W2091068168","https://openalex.org/W2104472920","https://openalex.org/W2106503792","https://openalex.org/W2131386954","https://openalex.org/W2144299089","https://openalex.org/W2145295623","https://openalex.org/W2146611644","https://openalex.org/W2151103935","https://openalex.org/W2154462399","https://openalex.org/W2161444669","https://openalex.org/W2171188027","https://openalex.org/W4313169793","https://openalex.org/W6601680102","https://openalex.org/W6641446668","https://openalex.org/W6675788551","https://openalex.org/W6679699912","https://openalex.org/W6683181193","https://openalex.org/W6685188343"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2547116720","https://openalex.org/W2043864454","https://openalex.org/W2188831877","https://openalex.org/W2599254681","https://openalex.org/W4291669689","https://openalex.org/W2153379791","https://openalex.org/W2001173190","https://openalex.org/W2295320501"],"abstract_inverted_index":{"We":[0,34],"propose":[1],"a":[2,17,21,36],"strategy":[3],"for":[4],"land":[5],"use":[6],"classification,":[7],"which":[8],"exploits":[9],"multiple":[10],"kernel":[11],"learning":[12],"(MKL)":[13],"to":[14,42],"automatically":[15],"determine":[16],"suitable":[18],"combination":[19],"of":[20,23,49,63],"set":[22],"features":[24],"without":[25],"requiring":[26],"any":[27],"heuristic":[28],"knowledge":[29],"about":[30],"the":[31,47,61,64],"classification":[32],"task.":[33],"present":[35],"novel":[37],"procedure":[38],"that":[39],"allows":[40],"MKL":[41],"achieve":[43],"good":[44],"performance":[45],"in":[46],"case":[48],"small":[50],"training":[51],"sets.":[52],"Experimental":[53],"results":[54],"on":[55],"publicly":[56],"available":[57],"data":[58],"sets":[59],"demonstrate":[60],"feasibility":[62],"proposed":[65],"approach.":[66]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}