{"id":"https://openalex.org/W3167824067","doi":"https://doi.org/10.1155/2021/6659831","title":"Remote Sensing Image Scene Classification Based on Fusion Method","display_name":"Remote Sensing Image Scene Classification Based on Fusion Method","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167824067","doi":"https://doi.org/10.1155/2021/6659831","mag":"3167824067"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6659831","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6659831","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6659831.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2021/6659831.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021315213","display_name":"Liancheng Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liancheng Yin","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","College of Software, Northeastern University, Shenyang, Liaoning Province 110004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749784","display_name":"Peiyi Yang","orcid":"https://orcid.org/0000-0003-0130-0008"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peiyi Yang","raw_affiliation_strings":["College of Computer Science, University of Virginia, Charlottesville, Virginia 22904, USA virginia.edu","College of Computer Science, University of Virginia, Charlottesville, Virginia 22904"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Virginia, Charlottesville, Virginia 22904, USA virginia.edu","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"College of Computer Science, University of Virginia, Charlottesville, Virginia 22904","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077441424","display_name":"Keming Mao","orcid":"https://orcid.org/0000-0003-1243-0123"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keming Mao","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","College of Software, Northeastern University, Shenyang, Liaoning Province 110004"],"raw_orcid":"https://orcid.org/0000-0003-1243-0123","affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100318585","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0003-0489-477X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","College of Software, Northeastern University, Shenyang, Liaoning Province 110004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004, China neu.edu.cn","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Software, Northeastern University, Shenyang, Liaoning Province 110004","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077441424"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2375,"currency":"USD","value_usd":2375},"apc_paid":{"value":2375,"currency":"USD","value_usd":2375},"fwci":0.8306,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.67314578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9970999956130981,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.979200005531311,"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/fusion","display_name":"Fusion","score":0.6949689984321594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530197262763977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6351947784423828},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6240107417106628},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.615433931350708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5257799625396729},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47482380270957947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3704833984375},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23326483368873596}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6949689984321594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530197262763977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6351947784423828},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6240107417106628},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.615433931350708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5257799625396729},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47482380270957947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3704833984375},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23326483368873596},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6659831","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6659831","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6659831.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3dd6ae095f314e1a8ab61ee753305d58","is_oa":false,"landing_page_url":"https://doaj.org/article/3dd6ae095f314e1a8ab61ee753305d58","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6659831","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6659831","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6659831.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5010589370","display_name":null,"funder_award_id":"N2017007","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3167824067.pdf","grobid_xml":"https://content.openalex.org/works/W3167824067.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W205990845","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1980038761","https://openalex.org/W2023930442","https://openalex.org/W2064094295","https://openalex.org/W2089156630","https://openalex.org/W2091280333","https://openalex.org/W2097117768","https://openalex.org/W2098642880","https://openalex.org/W2108598243","https://openalex.org/W2153425333","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2291068538","https://openalex.org/W2341018344","https://openalex.org/W2342880667","https://openalex.org/W2411876745","https://openalex.org/W2509749674","https://openalex.org/W2534492526","https://openalex.org/W2551397753","https://openalex.org/W2567026239","https://openalex.org/W2592962403","https://openalex.org/W2620179114","https://openalex.org/W2620429297","https://openalex.org/W2620858446","https://openalex.org/W2715220489","https://openalex.org/W2744582969","https://openalex.org/W2780334404","https://openalex.org/W2782266583","https://openalex.org/W2782393084","https://openalex.org/W2783165089","https://openalex.org/W2786225488","https://openalex.org/W2792083654","https://openalex.org/W2793797551","https://openalex.org/W2794393839","https://openalex.org/W2801389998","https://openalex.org/W2802999850","https://openalex.org/W2890732922","https://openalex.org/W2890833618","https://openalex.org/W2902459419","https://openalex.org/W2914885528","https://openalex.org/W2919115771","https://openalex.org/W2940726923","https://openalex.org/W2944302759","https://openalex.org/W2946057160","https://openalex.org/W2948329096","https://openalex.org/W3022140654","https://openalex.org/W3100399724","https://openalex.org/W3103410140","https://openalex.org/W3103856189"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"Remote":[0],"sensing":[1,42],"image":[2,43],"scene":[3,31,44],"classification":[4,45,79],"is":[5,51,132,137,149],"a":[6],"hot":[7],"research":[8],"area":[9],"for":[10,30,40],"its":[11],"wide":[12],"applications.":[13],"More":[14],"recently,":[15],"fusion\u2010based":[16,38],"methods":[17,73],"attract":[18],"much":[19],"attention":[20],"since":[21],"they":[22],"are":[23,74,97,128],"considered":[24],"to":[25,141],"be":[26],"an":[27,138],"useful":[28],"way":[29,140],"feature":[32],"representation.":[33],"This":[34],"paper":[35],"explores":[36],"the":[37,71,82,109,150,163],"method":[39,157],"remote":[41],"from":[46],"another":[47],"viewpoint.":[48],"First,":[49],"it":[50],"categorized":[52],"as":[53],"front":[54],"side":[55,59,64,84,89,95,147],"fusion":[56,60,65,69,85,90,114,126,136,148,153],"mode,":[57,61,70,154],"middle":[58],"and":[62,76,87,105,122,155],"back":[63,146],"mode.":[66],"For":[67],"each":[68],"related":[72],"introduced":[75],"described.":[77],"Then,":[78],"performances":[80],"of":[81,93,119],"single":[83,94],"mode":[86,91],"hybrid":[88],"(combinations":[92],"fusion)":[96],"evaluated.":[98],"Comprehensive":[99],"experiments":[100],"on":[101],"UC":[102],"Merced,":[103],"WHU\u2010RS19,":[104],"NWPU\u2010RESISC45":[106],"datasets":[107],"give":[108],"comparison":[110],"result":[111],"among":[112,124],"various":[113,120],"methods.":[115],"The":[116],"performance":[117],"comparisons":[118],"modes,":[121],"interactions":[123],"different":[125],"modes":[127],"also":[129],"discussed.":[130],"It":[131],"concluded":[133],"that":[134],"(1)":[135],"effective":[139],"improve":[142],"model":[143],"performance,":[144],"(2)":[145],"most":[151],"powerful":[152],"(3)":[156],"with":[158],"random":[159],"crop+multiple":[160],"backbone+average":[161],"achieves":[162],"best":[164],"performance.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
