{"id":"https://openalex.org/W4408222465","doi":"https://doi.org/10.1109/lgrs.2025.3549218","title":"Dual-Branch Cross Weighting Network for Multimodal Hyperspectral Unmixing","display_name":"Dual-Branch Cross Weighting Network for Multimodal Hyperspectral Unmixing","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408222465","doi":"https://doi.org/10.1109/lgrs.2025.3549218"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3549218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3549218","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ziang Jiao","orcid":"https://orcid.org/0009-0008-7076-0909"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziang Jiao","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China","School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-7076-0909","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062388461","display_name":"Yongsheng Dong","orcid":"https://orcid.org/0000-0002-6281-9658"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Dong","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China","School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6281-9658","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chongchong Mao","orcid":"https://orcid.org/0009-0000-4389-3337"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongchong Mao","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China","School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China"],"raw_orcid":"https://orcid.org/0009-0000-4389-3337","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057111851","display_name":"Lintao Zheng","orcid":"https://orcid.org/0000-0002-9533-0285"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Zheng","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China","School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-9533-0285","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, P. R. China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":null,"apc_paid":null,"fwci":2.2859,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87575142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9804999828338623,"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":0.9804999828338623,"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":0.911300003528595,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8497763872146606},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6750037670135498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6207253336906433},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5736581087112427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254995822906494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4625944495201111},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3429277539253235}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8497763872146606},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6750037670135498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6207253336906433},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5736581087112427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254995822906494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4625944495201111},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3429277539253235},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3549218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3549218","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2870131413","display_name":null,"funder_award_id":"62471175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6860304786","display_name":null,"funder_award_id":"232300421023","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2894115892","https://openalex.org/W3100714546","https://openalex.org/W3137191419","https://openalex.org/W3200947677","https://openalex.org/W4210987640","https://openalex.org/W4214854488","https://openalex.org/W4316661198","https://openalex.org/W4361982595","https://openalex.org/W4367663193","https://openalex.org/W4389161459","https://openalex.org/W4390119999","https://openalex.org/W4390956164","https://openalex.org/W4391020695","https://openalex.org/W4391547512","https://openalex.org/W4405304078"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,22,29],"has":[2],"recently":[3],"attracted":[4],"much":[5],"attention":[6],"in":[7,37,136,158],"the":[8,61,71,94,102,120,132,137,150],"field":[9],"of":[10,65,75,134,154],"spectral":[11,62,66,121],"image":[12],"analysis.":[13],"Unsupervised":[14],"methods":[15,26],"based":[16],"on":[17,131,144],"autoencoder":[18],"can":[19,57],"achieve":[20],"excellent":[21],"performance.":[23],"However,":[24],"these":[25],"have":[27],"unsatisfactory":[28],"results":[30,143],"for":[31,52,117],"different":[32],"substances":[33],"with":[34],"similar":[35],"materials":[36,135],"complex":[38],"scenarios.":[39],"In":[40],"this":[41],"letter,":[42],"we":[43,84],"propose":[44],"a":[45,86],"new":[46],"dual-branch":[47],"cross":[48],"weighting":[49,140],"network":[50,95],"(DCWNet)":[51],"multimodal":[53,147],"hyperspectral":[54],"unmixing.":[55],"It":[56],"not":[58],"only":[59],"use":[60],"feature":[63,73,114,122,126],"information":[64,74,98,123,127],"images":[67],"but":[68],"also":[69],"acquire":[70,96],"spatial":[72,87,97,125],"light":[76],"detection":[77],"and":[78,105,124,152],"ranging":[79],"(LiDAR)":[80],"data":[81],"simultaneously.":[82],"Specifically,":[83],"build":[85],"channel":[88,106],"augmentation":[89],"(SCA)":[90],"block":[91],"to":[92,128,160],"help":[93],"more":[99],"accurately":[100],"from":[101],"horizontal,":[103],"vertical,":[104],"aspects,":[107],"respectively.":[108],"We":[109],"further":[110],"construct":[111],"an":[112],"adaptive":[113],"selection":[115],"module":[116],"effectively":[118],"using":[119],"better":[129],"focus":[130],"discrimination":[133],"scene":[138],"through":[139],"fusion.":[141],"Experimental":[142],"two":[145],"real":[146],"datasets":[148],"demonstrate":[149],"competitiveness":[151],"effectiveness":[153],"our":[155],"proposed":[156],"DCWNet":[157],"comparison":[159],"five":[161],"representative":[162],"methods.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}