{"id":"https://openalex.org/W3135445258","doi":"https://doi.org/10.1109/tgrs.2020.3020823","title":"Multimodal GANs: Toward Crossmodal Hyperspectral\u2013Multispectral Image Segmentation","display_name":"Multimodal GANs: Toward Crossmodal Hyperspectral\u2013Multispectral Image Segmentation","publication_year":2020,"publication_date":"2020-09-16","ids":{"openalex":"https://openalex.org/W3135445258","doi":"https://doi.org/10.1109/tgrs.2020.3020823","mag":"3135445258"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3020823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3020823","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03429662","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["GIPSA-laboratory, CNRS, Grenoble INP, University of Grenoble Alpes, Grenoble, France","GIPSA - Signal Images Physique"],"affiliations":[{"raw_affiliation_string":"GIPSA-laboratory, CNRS, Grenoble INP, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013885739","display_name":"Jing Yao","orcid":"https://orcid.org/0000-0003-1301-9758"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yao","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["Macau Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau","School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Macau University of Science and Technology","Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Macau Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113541537","display_name":"Zongben Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongben Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","LJK, CNRS, INRIA, Grenoble INP, University of Grenoble Alpes, Grenoble, France","Chinese Academy of Sciences [Beijing]","GIPSA - Signal Images Physique","Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"LJK, CNRS, INRIA, Grenoble INP, University of Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Chinese Academy of Sciences [Beijing]","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"GIPSA - Signal Images Physique","institution_ids":["https://openalex.org/I4210124956"]},{"raw_affiliation_string":"Apprentissage de mod\u00e8les \u00e0 partir de donn\u00e9es massives","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5075013625"],"corresponding_institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":15.295,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.99092615,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"59","issue":"6","first_page":"5103","last_page":"5113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.847754955291748},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7240526080131531},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6150858402252197},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5742103457450867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.534035861492157},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4898702800273895},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4839639961719513},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44892898201942444},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4247281551361084},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4141013026237488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847754955291748},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7240526080131531},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6150858402252197},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5742103457450867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.534035861492157},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4898702800273895},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4839639961719513},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44892898201942444},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4247281551361084},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4141013026237488},{"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:10.1109/tgrs.2020.3020823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3020823","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03429662v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03429662","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9198910","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03429662v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03429662","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9198910","raw_type":"Journal articles"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G5234250448","display_name":null,"funder_award_id":"11690011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5372072380","display_name":null,"funder_award_id":"U1811461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387986177","display_name":null,"funder_award_id":"61721002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321048","display_name":"AXA Research Fund","ror":"https://ror.org/02zxqxw53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W771469340","https://openalex.org/W1523385540","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1945616565","https://openalex.org/W1964073652","https://openalex.org/W2005672614","https://openalex.org/W2029316659","https://openalex.org/W2099471712","https://openalex.org/W2106277226","https://openalex.org/W2114819256","https://openalex.org/W2164587673","https://openalex.org/W2184188583","https://openalex.org/W2402144811","https://openalex.org/W2412782625","https://openalex.org/W2414857070","https://openalex.org/W2464204616","https://openalex.org/W2500751094","https://openalex.org/W2527276685","https://openalex.org/W2557865186","https://openalex.org/W2559169016","https://openalex.org/W2559823555","https://openalex.org/W2560023338","https://openalex.org/W2600746131","https://openalex.org/W2600777408","https://openalex.org/W2609880332","https://openalex.org/W2739253758","https://openalex.org/W2755992512","https://openalex.org/W2772452219","https://openalex.org/W2809113079","https://openalex.org/W2888119354","https://openalex.org/W2894913190","https://openalex.org/W2898381489","https://openalex.org/W2902746003","https://openalex.org/W2907147407","https://openalex.org/W2953384591","https://openalex.org/W2963207607","https://openalex.org/W2963406768","https://openalex.org/W2963730812","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2963899908","https://openalex.org/W2963948108","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W2964197269","https://openalex.org/W2977355106","https://openalex.org/W2991318208","https://openalex.org/W2991616716","https://openalex.org/W2994639710","https://openalex.org/W3004968762","https://openalex.org/W3009883650","https://openalex.org/W3040988483","https://openalex.org/W3041014620","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3101012758","https://openalex.org/W3101640299","https://openalex.org/W3102692100","https://openalex.org/W3103695279","https://openalex.org/W3105021316","https://openalex.org/W3105298104","https://openalex.org/W3105997607","https://openalex.org/W3122774149","https://openalex.org/W4299801216","https://openalex.org/W4320013936","https://openalex.org/W6606244218","https://openalex.org/W6631216910","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6640425456","https://openalex.org/W6685183736","https://openalex.org/W6686207219","https://openalex.org/W6696085341","https://openalex.org/W6713134421","https://openalex.org/W6727577265","https://openalex.org/W6730042849","https://openalex.org/W6735560773","https://openalex.org/W6748204703"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":{"This":[0,61],"article":[1],"addresses":[2],"the":[3,53,83,101,131],"problem":[4],"of":[5,55],"semantic":[6],"segmentation":[7],"with":[8,70,126,151],"limited":[9,127],"cross-modality":[10,68],"data":[11,142],"in":[12,52,82,149],"large-scale":[13],"urban":[14],"scenes.":[15],"Most":[16],"prior":[17],"works":[18],"have":[19],"attempted":[20],"to":[21,35,63,67,93,99,121],"address":[22],"this":[23,74],"issue":[24],"by":[25],"using":[26],"multimodal":[27,71,136],"deep":[28],"neural":[29],"networks":[30,87],"(DNNs).":[31],"However,":[32],"their":[33],"ability":[34],"effectively":[36],"blending":[37],"different":[38],"properties":[39],"across":[40],"multimodalities":[41],"and":[42,57,90,98,109,138,144],"robustly":[43],"learning":[44,69,125],"representations":[45,97],"from":[46],"complex":[47],"scenes":[48],"remains":[49],"limited,":[50],"particularly":[51],"absence":[54],"sufficient":[56],"well-annotated":[58],"training":[59,117],"images.":[60],"leads":[62],"a":[64,114,146],"challenge":[65],"related":[66],"DNNs.":[72],"To":[73],"end,":[75],"we":[76],"introduce":[77],"two":[78,135],"novel":[79],"plug-and-play":[80],"units":[81],"network:":[84],"self-generative":[85],"adversarial":[86],"(GANs)":[88],"module":[89],"mutual-GANs":[91],"module,":[92],"learn":[94],"perturbation-insensitive":[95],"feature":[96],"eliminate":[100],"gap":[102],"between":[103],"multimodalities,":[104],"respectively,":[105],"yielding":[106],"more":[107],"effective":[108,123],"robust":[110],"information":[111],"transfer.":[112],"Furthermore,":[113],"patchwise":[115],"progressive":[116],"strategy":[118],"is":[119],"devised":[120],"enable":[122],"network":[124,133],"samples.":[128],"We":[129],"evaluate":[130],"proposed":[132],"on":[134],"(hyperspectral":[137],"multispectral)":[139],"overhead":[140],"image":[141],"sets":[143],"achieve":[145],"significant":[147],"improvement":[148],"comparison":[150],"several":[152],"state-of-the-art":[153],"methods.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
