{"id":"https://openalex.org/W4285202680","doi":"https://doi.org/10.1109/tgrs.2022.3183468","title":"Interactformer: Interactive Transformer and CNN for Hyperspectral Image Super-Resolution","display_name":"Interactformer: Interactive Transformer and CNN for Hyperspectral Image Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285202680","doi":"https://doi.org/10.1109/tgrs.2022.3183468"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3183468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183468","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075787400","display_name":"Yaoting Liu","orcid":"https://orcid.org/0000-0003-2975-3017"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoting Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2975-3017","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030541843","display_name":"Jianwen Hu","orcid":"https://orcid.org/0000-0001-9849-1327"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Hu","raw_affiliation_strings":["School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9849-1327","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","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/A5089800679","display_name":"Jing Luo","orcid":"https://orcid.org/0000-0003-0646-743X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Luo","raw_affiliation_strings":["College of Automation, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0646-743X","affiliations":[{"raw_affiliation_string":"College of Automation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100777507","display_name":"Shaosheng Fan","orcid":"https://orcid.org/0000-0002-5548-3527"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaosheng Fan","raw_affiliation_strings":["School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.6219,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98310166,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8844977617263794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7538779377937317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6267613172531128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5851749777793884},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5805599093437195},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5403943061828613},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5240783095359802},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4782789647579193},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4322943687438965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34374457597732544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2703489065170288},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21364620327949524}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8844977617263794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538779377937317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6267613172531128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5851749777793884},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5805599093437195},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5403943061828613},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5240783095359802},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4782789647579193},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4322943687438965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34374457597732544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2703489065170288},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21364620327949524}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3183468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3183468","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3567161771","display_name":null,"funder_award_id":"2021JJ40609","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G6416644177","display_name":null,"funder_award_id":"2021JJ40610","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8070505831","display_name":null,"funder_award_id":"61601061","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1885185971","https://openalex.org/W1916874600","https://openalex.org/W1965309615","https://openalex.org/W2067532478","https://openalex.org/W2114770744","https://openalex.org/W2133665775","https://openalex.org/W2165709183","https://openalex.org/W2171125155","https://openalex.org/W2242218935","https://openalex.org/W2289756263","https://openalex.org/W2562637781","https://openalex.org/W2767522909","https://openalex.org/W2773850265","https://openalex.org/W2792111852","https://openalex.org/W2804744787","https://openalex.org/W2896485748","https://openalex.org/W2898062170","https://openalex.org/W2910457605","https://openalex.org/W2963420686","https://openalex.org/W3000573080","https://openalex.org/W3002734626","https://openalex.org/W3003247314","https://openalex.org/W3007002906","https://openalex.org/W3016410830","https://openalex.org/W3019893222","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3033214016","https://openalex.org/W3034552520","https://openalex.org/W3044477028","https://openalex.org/W3045851210","https://openalex.org/W3082743121","https://openalex.org/W3099239430","https://openalex.org/W3102745911","https://openalex.org/W3109953061","https://openalex.org/W3117876421","https://openalex.org/W3128204528","https://openalex.org/W3138516171","https://openalex.org/W3160949528","https://openalex.org/W3165892790","https://openalex.org/W3171125843","https://openalex.org/W3172509117","https://openalex.org/W3180045188","https://openalex.org/W3197023476","https://openalex.org/W3198382817","https://openalex.org/W3202923600","https://openalex.org/W3207918547","https://openalex.org/W3209001699","https://openalex.org/W3214707056","https://openalex.org/W3214821343","https://openalex.org/W4206667434","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6739901393"],"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/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122"],"abstract_inverted_index":{"Due":[0],"to":[1,42,72,86,104,131],"rich":[2],"spectral":[3,95,108,111,175],"information,":[4],"hyperspectral":[5],"images":[6],"(HSIs)":[7],"have":[8],"been":[9],"widely":[10],"used":[11],"in":[12,152],"various":[13],"fields.":[14],"However,":[15],"limited":[16],"by":[17,50],"imaging":[18],"systems,":[19],"the":[20,36,60,74,90,94,107,125,146,169,174],"low":[21],"spatial":[22,37,170],"resolution":[23,171],"of":[24,118],"HSIs":[25],"has":[26],"become":[27],"an":[28],"important":[29],"problem.":[30],"In":[31,89],"this":[32],"article,":[33],"for":[34],"enhancing":[35],"resolution,":[38],"Interactformer":[39,165],"is":[40,70,129],"proposed":[41,147],"interact":[43,132],"with":[44,67,133,141],"global":[45,136],"and":[46,52,98,113,135,159],"local":[47,115,134],"features":[48],"extracted":[49],"Transformer":[51,61],"3D":[53,91,99],"convolutional":[54],"neural":[55],"network":[56],"(CNN)":[57],"branches.":[58],"Within":[59],"branch,":[62,93],"a":[63],"separable":[64],"self-attention":[65,78],"module":[66,97],"linear":[68],"complexity":[69],"designed":[71,130],"solve":[73],"problem":[75],"that":[76,164],"traditional":[77],"mechanisms":[79],"suffer":[80],"from":[81],"large":[82],"memory":[83],"costs":[84],"due":[85],"quadratic":[87],"complexity.":[88],"CNN":[92],"attention":[96,122],"convolution":[100],"are":[101],"applied":[102],"jointly":[103],"better":[105,150],"protect":[106],"correlation":[109],"among":[110],"bands":[112],"facilitate":[114],"feature":[116,137],"extraction":[117],"HSIs.":[119],"The":[120],"interactive":[121],"unit":[123],"between":[124],"two":[126],"parallel":[127],"branches":[128],"information":[138],"adaptively.":[139],"Compared":[140],"state-of-the-art":[142],"super-resolution":[143],"(SR)":[144],"methods,":[145],"method":[148],"reconstructs":[149],"HSI":[151],"simulated":[153],"SR":[154,157],"experiments,":[155,158,161],"real":[156],"classification":[160],"which":[162],"prove":[163],"can":[166],"effectively":[167],"improve":[168],"while":[172],"preserving":[173],"information.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":39},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}