{"id":"https://openalex.org/W3008789903","doi":"https://doi.org/10.1109/tcsvt.2020.2975566","title":"Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification","display_name":"Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification","publication_year":2020,"publication_date":"2020-02-21","ids":{"openalex":"https://openalex.org/W3008789903","doi":"https://doi.org/10.1109/tcsvt.2020.2975566","mag":"3008789903"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2975566","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","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/A5083785964","display_name":"Jie Xie","orcid":"https://orcid.org/0000-0002-4710-4275"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xie","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057842658","display_name":"Nanjun He","orcid":"https://orcid.org/0000-0003-3105-6499"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanjun He","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I4210148560","display_name":"Helmholtz Institute Freiberg for Resource Technology","ror":"https://ror.org/04kdb0j04","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2801798921","https://openalex.org/I4210148560"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany","institution_ids":["https://openalex.org/I4210148560"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.197,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.999851,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":"1","first_page":"246","last_page":"259"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9939,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9932,"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/fuse","display_name":"Fuse (electrical)","score":0.681314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7078117},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6931197},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.681314},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6737686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62684923},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.53149104},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49336186},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2975566","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61771192"}],"datasets":[],"versions":[],"referenced_works_count":49,"referenced_works":["https://openalex.org/W1939429412","https://openalex.org/W1985468858","https://openalex.org/W1990895816","https://openalex.org/W2016860790","https://openalex.org/W2029316659","https://openalex.org/W2051968191","https://openalex.org/W2052160904","https://openalex.org/W2053615857","https://openalex.org/W2053852479","https://openalex.org/W2085529604","https://openalex.org/W2090424610","https://openalex.org/W2097915756","https://openalex.org/W2107030918","https://openalex.org/W2111601232","https://openalex.org/W2114819256","https://openalex.org/W2136251662","https://openalex.org/W2152438175","https://openalex.org/W2163605009","https://openalex.org/W2242603519","https://openalex.org/W2402048088","https://openalex.org/W2409822418","https://openalex.org/W2461893856","https://openalex.org/W2500751094","https://openalex.org/W2516282711","https://openalex.org/W2519307493","https://openalex.org/W2531751415","https://openalex.org/W2548791488","https://openalex.org/W2558391528","https://openalex.org/W2586793539","https://openalex.org/W2603078356","https://openalex.org/W2611655888","https://openalex.org/W2614326984","https://openalex.org/W2732412926","https://openalex.org/W2736832651","https://openalex.org/W2745154512","https://openalex.org/W2751810713","https://openalex.org/W2753608104","https://openalex.org/W2754507318","https://openalex.org/W2757242159","https://openalex.org/W2767421475","https://openalex.org/W2769653316","https://openalex.org/W2769877289","https://openalex.org/W2792332881","https://openalex.org/W2793607269","https://openalex.org/W2803657611","https://openalex.org/W2884158490","https://openalex.org/W2940939359","https://openalex.org/W2950014519","https://openalex.org/W2963446712"],"related_works":["https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W3207760230","https://openalex.org/W2536018345","https://openalex.org/W2358353312","https://openalex.org/W2296488620","https://openalex.org/W2072166414","https://openalex.org/W17155033","https://openalex.org/W1590307681","https://openalex.org/W1496222301"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,103],"(CNN)":[3],"has":[4],"demonstrated":[5],"to":[6,26,108,166,202],"be":[7],"a":[8,99,170],"powerful":[9],"tool":[10],"for":[11,72,114,119,182,210],"hyperspectral":[12],"images":[13],"(HSIs)":[14],"classification.":[15,117,214],"Previous":[16],"CNN-based":[17],"HSI":[18,213],"classification":[19,74,232,237],"methods":[20],"only":[21,65],"adopt":[22],"the":[23,28,39,45,60,69,73,83,115,122,151,155,158,177,196,204,211,222,225],"fixed-size":[24],"patches":[25,35,128,133,192],"train":[27],"CNN":[29,53,62,231],"model,":[30],"and":[31,140,173,184,234],"such":[32],"single":[33,229],"scale":[34,138,146],"may":[36],"not":[37,80],"reflect":[38],"complex":[40],"spatial":[41],"structural":[42],"information":[43,88,113,178,206],"in":[44,96,169,191],"HSIs.":[46],"In":[47],"addition,":[48],"although":[49],"different":[50,90,180,194,208],"layers":[51,168,181,209],"of":[52,57,129,149,193,224],"can":[54,64,134,162,175],"extract":[55],"features":[56,67],"multiple":[58,111,130,137],"scales,":[59,195],"traditional":[61],"model":[63,233],"utilize":[66],"from":[68],"highest":[70],"level":[71],"task.":[75],"These":[76,132],"features,":[77],"however,":[78],"do":[79],"fully":[81],"consider":[82],"strong":[84],"complementary":[85],"yet":[86],"correlated":[87],"among":[89,179,207],"layers.":[91],"To":[92],"address":[93],"these":[94],"issues,":[95],"this":[97],"paper,":[98],"multiscale":[100,205],"densely-connected":[101],"convolutional":[102,153],"(MS-DenseNet)":[104],"framework":[105],"is":[106],"proposed":[107,226],"sufficiently":[109],"exploit":[110,176],"scales":[112],"HSIs":[116,220],"Specifically,":[118],"each":[120,144,164],"pixel,":[121],"MS-DenseNet,":[123],"first,":[124],"extracts":[125],"its":[126],"surrounding":[127],"scales.":[131],"separately":[135],"constitute":[136],"training":[139,183],"testing":[141],"samples.":[142],"Within":[143],"specific":[145],"sample,":[147],"instead":[148],"using":[150],"forward":[152],"layers,":[154],"MS-DenseNet":[156,197,227],"adopts":[157],"dense":[159,200],"blocks,":[160],"which":[161],"connect":[163],"layer":[165],"other":[167],"feed-forward":[171],"fashion":[172],"thus":[174],"testing.":[185],"Furthermore,":[186],"since":[187],"high":[188],"correlations":[189],"exist":[190],"introduces":[198],"several":[199,218,235],"blocks":[201],"fuse":[203],"final":[212],"Experimental":[215],"results":[216],"on":[217],"real":[219],"demonstrate":[221],"superiority":[223],"over":[228],"scale-based":[230],"well-known":[236],"methods.":[238]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3008789903","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2025-04-19T11:48:55.759254","created_date":"2020-03-06"}