{"id":"https://openalex.org/W4410296392","doi":"https://doi.org/10.1109/jstars.2025.3569331","title":"Dual-Branch Network With Mutual Guidance for Hyperspectral Image Superresolution","display_name":"Dual-Branch Network With Mutual Guidance for Hyperspectral Image Superresolution","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410296392","doi":"https://doi.org/10.1109/jstars.2025.3569331"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3569331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3569331","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3569331","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tiejun Zhang","orcid":"https://orcid.org/0009-0005-9644-2456"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Zhang","raw_affiliation_strings":["College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0005-9644-2456","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Boqun Zhang","orcid":"https://orcid.org/0009-0000-5348-6882"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boqun Zhang","raw_affiliation_strings":["College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0000-5348-6882","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nan Hu","orcid":"https://orcid.org/0009-0009-7714-6925"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Hu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0009-7714-6925","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinyu Li","orcid":"https://orcid.org/0009-0006-7887-2767"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0006-7887-2767","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peng Li","orcid":"https://orcid.org/0009-0002-7688-0473"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0002-7688-0473","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.0839,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76806208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"18","issue":null,"first_page":"14368","last_page":"14381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9929999709129333,"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":0.9929999709129333,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9635000228881836,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9474999904632568,"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":0.8497949838638306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5937038064002991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4880715608596802},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4802851378917694},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4667055606842041},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46293753385543823},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.43436428904533386},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4217779040336609},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40132343769073486},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34304744005203247},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1710422933101654}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8497949838638306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937038064002991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4880715608596802},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4802851378917694},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4667055606842041},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46293753385543823},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.43436428904533386},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4217779040336609},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40132343769073486},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34304744005203247},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1710422933101654},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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":2,"locations":[{"id":"doi:10.1109/jstars.2025.3569331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3569331","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9f736d4f7d54066b26a518aacd7caac","is_oa":true,"landing_page_url":"https://doaj.org/article/b9f736d4f7d54066b26a518aacd7caac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 14368-14381 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3569331","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3569331","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044"],"abstract_inverted_index":{"Fusion-based":[0],"hyperspectral":[1,23],"image":[2],"super-resolution":[3],"has":[4],"recently":[5],"attracted":[6],"increasing":[7],"interest":[8],"due":[9],"to":[10,87,157],"its":[11],"superior":[12,179],"reconstruction":[13],"quality.":[14],"This":[15],"approach":[16],"enhances":[17],"the":[18,33,46,62,89,97,120,160,173],"spatial":[19,124],"resolution":[20],"of":[21,32,54,64,99,132],"low-resolution":[22],"images":[24,30,55],"(LR-HSIs)":[25],"by":[26],"fusing":[27],"high-resolution":[28],"multispectral":[29],"(HR-MSIs)":[31],"same":[34],"scene.":[35],"However,":[36],"most":[37],"existing":[38],"deep":[39],"learning-based":[40],"methods":[41],"have":[42],"not":[43],"sufficiently":[44],"considered":[45],"huge":[47],"modality":[48,102],"differences":[49],"between":[50,119],"these":[51],"two":[52],"types":[53],"before":[56],"feature":[57,138,152],"fusion,":[58],"potentially":[59],"resulting":[60],"in":[61,94,185],"loss":[63],"valuable":[65],"information.":[66],"To":[67,128],"tackle":[68],"this":[69,105],"challenge,":[70],"we":[71,82,107,134],"introduce":[72],"a":[73,84,109,136,150],"novel":[74],"dual-branch":[75,85],"network":[76],"with":[77,96,181,187],"mutual":[78],"guidance":[79],"(DBMGNet).":[80],"Specifically,":[81],"employ":[83],"architecture":[86],"process":[88],"input":[90],"LR-HSI":[91],"and":[92,125,178],"HR-MSI":[93],"parallel,":[95],"aim":[98],"reconciling":[100],"their":[101,123],"differences.":[103],"For":[104],"purpose,":[106],"designed":[108],"mutually":[110],"guided":[111],"dual-stream":[112],"Transformer":[113],"block":[114,154],"that":[115,172],"performs":[116],"bidirectional":[117],"calibration":[118],"branches,":[121],"enhancing":[122],"spectral":[126],"consistency.":[127],"prevent":[129],"excessive":[130],"coupling":[131],"information,":[133],"proposed":[135,174],"multiscale":[137],"enhancement":[139],"block,":[140],"which":[141],"independently":[142],"refines":[143],"fine-grained":[144],"details":[145],"within":[146],"each":[147],"branch.":[148],"Finally,":[149],"weighted":[151],"fusion":[153],"is":[155],"developed":[156],"effectively":[158],"integrate":[159],"features":[161],"from":[162],"both":[163],"branches.":[164],"Experiments":[165],"on":[166],"three":[167],"widely":[168],"used":[169],"datasets":[170],"indicate":[171],"DBMGNet":[175],"achieves":[176],"stable":[177],"performance":[180],"lower":[182],"computational":[183],"cost":[184],"comparison":[186],"several":[188],"state-of-the-art":[189],"approaches.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}