{"id":"https://openalex.org/W3013201367","doi":"https://doi.org/10.1080/2150704x.2020.1743376","title":"Deep multi-feature fusion network for remote sensing images","display_name":"Deep multi-feature fusion network for remote sensing images","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3013201367","doi":"https://doi.org/10.1080/2150704x.2020.1743376","mag":"3013201367"},"language":"en","primary_location":{"id":"doi:10.1080/2150704x.2020.1743376","doi":"https://doi.org/10.1080/2150704x.2020.1743376","is_oa":false,"landing_page_url":"https://doi.org/10.1080/2150704x.2020.1743376","pdf_url":null,"source":{"id":"https://openalex.org/S2494614724","display_name":"Remote Sensing Letters","issn_l":"2150-704X","issn":["2150-704X","2150-7058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101483359","display_name":"Wei Xiong","orcid":"https://orcid.org/0000-0002-1857-4948","observed_orcids":["https://orcid.org/0000-0002-1857-4948"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["Research Institute of Information Fusion, Naval Aviation University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056670001","display_name":"Zhenyu Xiong","orcid":"https://orcid.org/0000-0002-1277-7875","observed_orcids":["https://orcid.org/0000-0002-1277-7875"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Xiong","raw_affiliation_strings":["Research Institute of Information Fusion, Naval Aviation University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048850333","display_name":"Yaqi Cui","orcid":"https://orcid.org/0000-0001-7933-9645","observed_orcids":["https://orcid.org/0000-0001-7933-9645"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Cui","raw_affiliation_strings":["Research Institute of Information Fusion, Naval Aviation University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007396281","display_name":"Yafei Lv","orcid":"https://orcid.org/0000-0002-2779-5099","observed_orcids":["https://orcid.org/0000-0002-2779-5099"]},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Lv","raw_affiliation_strings":["Research Institute of Information Fusion, Naval Aviation University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Fusion, Naval Aviation University, Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056670001"],"corresponding_institution_ids":["https://openalex.org/I4210162215"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61184362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"11","issue":"6","first_page":"563","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.7294999957084656,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.7294999957084656,"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":0.2079000025987625,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.027300000190734863,"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/multi-feature-fusion","display_name":"multi-feature fusion","score":0.8230000138282776},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.8619999885559082},{"id":"https://openalex.org/keywords/discriminative-representation-learning","display_name":"discriminative feature learning","score":0.8420000076293945},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"image retrieval","score":0.5400000214576721},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.9459999799728394},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.6579999923706055},{"id":"https://openalex.org/keywords/semantic-objects","display_name":"semantic objects","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837131917476654},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8191721439361572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.765520453453064},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7017958760261536},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6912918090820312},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6488701701164246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5892767310142517},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4838468134403229},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.457244873046875},{"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:10.1080/2150704x.2020.1743376","doi":"https://doi.org/10.1080/2150704x.2020.1743376","is_oa":false,"landing_page_url":"https://doi.org/10.1080/2150704x.2020.1743376","pdf_url":null,"source":{"id":"https://openalex.org/S2494614724","display_name":"Remote Sensing Letters","issn_l":"2150-704X","issn":["2150-704X","2150-7058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2006603039","https://openalex.org/W2012592962","https://openalex.org/W2052592045","https://openalex.org/W2091510577","https://openalex.org/W2124386111","https://openalex.org/W2147238549","https://openalex.org/W2187089797","https://openalex.org/W2515131597","https://openalex.org/W2520774990","https://openalex.org/W2592962403","https://openalex.org/W2744582969","https://openalex.org/W2783165089","https://openalex.org/W2801389998","https://openalex.org/W2806299729","https://openalex.org/W2886702754","https://openalex.org/W2913741863","https://openalex.org/W2918316070"],"related_works":["https://openalex.org/W3035821597","https://openalex.org/W2623518586","https://openalex.org/W3175701068","https://openalex.org/W3031907701","https://openalex.org/W3004372116","https://openalex.org/W4388725937","https://openalex.org/W2985929670","https://openalex.org/W4413118451","https://openalex.org/W2807037009","https://openalex.org/W2890859091"],"abstract_inverted_index":{"Learning":[0],"discriminative":[1,81],"and":[2,66,155],"robust":[3],"features":[4,82],"is":[5,77,90,127,150],"crucial":[6],"in":[7,93,103],"remote":[8,37],"sensing":[9,38],"image":[10,99],"processing.":[11],"Many":[12],"of":[13,36,74,96],"the":[14,64,84,94,97,122],"currently":[15],"used":[16,78,92,115],"approaches":[17,27],"are":[18,112],"based":[19],"on":[20,136],"Convolutional":[21],"Neural":[22],"Networks":[23],"(CNNs).":[24],"However,":[25],"such":[26],"may":[28],"not":[29],"effectively":[30],"capture":[31],"various":[32],"different":[33,57],"semantic":[34],"objects":[35],"images.":[39],"To":[40],"overcome":[41],"this":[42,148],"limitation,":[43],"we":[44],"propose":[45],"a":[46],"novel":[47],"end-to-end":[48,129],"deep":[49,58,145],"multi-feature":[50],"fusion":[51,118],"network":[52],"(DMFN).":[53],"DMFN":[54],"combines":[55],"two":[56,110,137],"architecture":[59],"branches":[60,111],"for":[61,121,152],"feature":[62,119],"representations;":[63],"global":[65,70],"local":[67,88,107],"branch.":[68],"The":[69,87,109,124],"branch,":[71],"which":[72],"consists":[73],"three":[75],"losses,":[76],"to":[79,105,116,143],"learn":[80,117],"from":[83],"whole":[85],"image.":[86,123],"branch":[89],"then":[91,113],"partitioning":[95],"entire":[98],"into":[100],"multiple":[101],"strips":[102],"order":[104],"obtain":[106],"features.":[108],"combined,":[114],"representations":[120],"proposed":[125],"method":[126],"an":[128],"framework":[130],"during":[131],"training.":[132],"Comprehensive":[133],"validation":[134],"experiments":[135],"public":[138],"datasets":[139],"indicate":[140],"that":[141],"relative":[142],"existing":[144],"learning":[146],"approaches,":[147],"strategy":[149],"superior":[151],"both":[153],"retrieval":[154],"classification":[156],"tasks.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-04-03T00:00:00"}