{"id":"https://openalex.org/W4312957680","doi":"https://doi.org/10.1109/whispers56178.2022.9955110","title":"Multisource Remote Sensing Data Classification Based on A Dual Attention Fusion Network","display_name":"Multisource Remote Sensing Data Classification Based on A Dual Attention Fusion Network","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4312957680","doi":"https://doi.org/10.1109/whispers56178.2022.9955110"},"language":"en","primary_location":{"id":"doi:10.1109/whispers56178.2022.9955110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5100395814","display_name":"Junjie Wang","orcid":"https://orcid.org/0000-0003-0256-8284"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics","School of Information and Electronics, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics","School of Information and Electronics, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442192","display_name":"Mengmeng Zhang","orcid":"https://orcid.org/0000-0002-5724-9785"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Zhang","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics","School of Information and Electronics, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033234889","display_name":"Yunhao Gao","orcid":"https://orcid.org/0000-0002-2896-6902"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Gao","raw_affiliation_strings":["Beijing Institute of Technology,School of Information and Electronics","School of Information and Electronics, Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Information and Electronics","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.3567,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58212019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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":0.9923999905586243,"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/dual","display_name":"Dual (grammatical number)","score":0.759933352470398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7430981397628784},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7142231464385986},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5916732549667358},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5277726650238037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034698843955994},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48382940888404846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43366432189941406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39662855863571167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.344054639339447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07171499729156494},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06761443614959717}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.759933352470398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430981397628784},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7142231464385986},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5916732549667358},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5277726650238037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034698843955994},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48382940888404846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43366432189941406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39662855863571167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.344054639339447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07171499729156494},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06761443614959717},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers56178.2022.9955110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers56178.2022.9955110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2038892422","https://openalex.org/W2136251662","https://openalex.org/W2152057649","https://openalex.org/W2614256707","https://openalex.org/W2908968031","https://openalex.org/W2924927660","https://openalex.org/W2955058313","https://openalex.org/W3008910742","https://openalex.org/W3035356612","https://openalex.org/W3103753223","https://openalex.org/W3168367808","https://openalex.org/W3181955139","https://openalex.org/W3204731106","https://openalex.org/W6798274885","https://openalex.org/W6801947122"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2372403409","https://openalex.org/W4242726756","https://openalex.org/W2952466936","https://openalex.org/W2737719445","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257"],"abstract_inverted_index":{"Joint":[0],"classification":[1,120],"of":[2,29,93,103],"multisource":[3],"remote":[4],"sensing":[5],"data":[6],"is":[7,20,49,61],"a":[8,42,57,85],"very":[9],"meaningful":[10],"yet":[11],"challenging":[12],"task.":[13],"Especially":[14],"when":[15],"the":[16,30,53,67,75,80,91,101,113,119],"actual":[17],"scene":[18],"composition":[19],"complex,":[21],"spectral":[22,58,76],"confusing":[23,77],"categories":[24],"overlapping":[25],"and":[26],"different":[27],"appearances":[28],"same":[31,81],"object":[32],"will":[33],"bring":[34],"great":[35],"challenges":[36],"for":[37],"classification.":[38],"In":[39],"this":[40],"paper,":[41],"novel":[43],"Dual":[44],"Attention":[45],"Fusion":[46],"Network":[47],"(DAFNet)":[48],"proposed":[50,114],"to":[51,63,72,99,123],"solve":[52],"above":[54],"problems.":[55],"Firstly,":[56],"attention":[59,87],"block":[60,88],"designed":[62],"highlight":[64],"or":[65],"suppress":[66],"channel":[68],"map,":[69],"so":[70],"as":[71],"better":[73],"distinguish":[74],"categories.":[78],"At":[79],"time,":[82],"we":[83],"introduce":[84],"spatial":[86,104],"that":[89,112],"integrates":[90],"features":[92],"all":[94],"locations":[95],"by":[96],"weighted":[97],"sum,":[98],"ignore":[100],"effect":[102],"differences.":[105],"Experimental":[106],"results":[107,121],"on":[108],"real":[109],"dataset":[110],"show":[111],"method":[115],"can":[116],"effectively":[117],"improve":[118],"compared":[122],"other":[124],"competitive":[125],"works.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
