{"id":"https://openalex.org/W3204542560","doi":"https://doi.org/10.1109/lgrs.2021.3110204","title":"Deep Multiscale Feedback Network for Hyperspectral Image Fusion","display_name":"Deep Multiscale Feedback Network for Hyperspectral Image Fusion","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3204542560","doi":"https://doi.org/10.1109/lgrs.2021.3110204","mag":"3204542560"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3110204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3110204","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":"https://openalex.org/A5100413352","display_name":"Wu Wang","orcid":"https://orcid.org/0000-0002-9431-2878"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wu Wang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014165464","display_name":"Weihong Zeng","orcid":"https://orcid.org/0000-0003-3853-3630"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Zeng","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772804","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0002-3913-9400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100413352"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69220544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9944000244140625,"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":0.9131039977073669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759732604026794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7254539728164673},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7074577808380127},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6748907566070557},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5428322553634644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5426114797592163},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47867971658706665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47795796394348145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47008848190307617},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4521104395389557},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41782140731811523}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9131039977073669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759732604026794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7254539728164673},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7074577808380127},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6748907566070557},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5428322553634644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5426114797592163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47867971658706665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47795796394348145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47008848190307617},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4521104395389557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41782140731811523},{"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":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3110204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3110204","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/G2005058667","display_name":null,"funder_award_id":"20720160072","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2680065437","display_name":null,"funder_award_id":"61103121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G383496509","display_name":null,"funder_award_id":"2019HZ020009","funder_id":"https://openalex.org/F4320317314","funder_display_name":"Science and Technology Projects of Fujian Province"},{"id":"https://openalex.org/G501348744","display_name":null,"funder_award_id":"20720180059","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7282001549","display_name":null,"funder_award_id":"61571005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G764035562","display_name":null,"funder_award_id":"61571382","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7987100753","display_name":null,"funder_award_id":"81671766","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8131038393","display_name":null,"funder_award_id":"2017J01126","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8507328295","display_name":null,"funder_award_id":"61172179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320317314","display_name":"Science and Technology Projects of Fujian Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W1495168473","https://openalex.org/W1916874600","https://openalex.org/W1968845542","https://openalex.org/W2001298023","https://openalex.org/W2002345587","https://openalex.org/W2016546886","https://openalex.org/W2021046129","https://openalex.org/W2078855750","https://openalex.org/W2092116045","https://openalex.org/W2099397676","https://openalex.org/W2100109944","https://openalex.org/W2117146861","https://openalex.org/W2124743705","https://openalex.org/W2133665775","https://openalex.org/W2160662337","https://openalex.org/W2162842940","https://openalex.org/W2171108951","https://openalex.org/W2200474412","https://openalex.org/W2221899823","https://openalex.org/W2291068538","https://openalex.org/W2327302159","https://openalex.org/W2336309239","https://openalex.org/W2484071357","https://openalex.org/W2522356675","https://openalex.org/W2625894731","https://openalex.org/W2748530166","https://openalex.org/W2792111852","https://openalex.org/W2804744787","https://openalex.org/W2889788332","https://openalex.org/W2892302943","https://openalex.org/W2963113244","https://openalex.org/W2964140612","https://openalex.org/W3098548497","https://openalex.org/W3099844221","https://openalex.org/W3102912004","https://openalex.org/W6602248423"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2912065050","https://openalex.org/W2011962637"],"abstract_inverted_index":{"Hyperspectral":[0,29],"imaging":[1],"is":[2,11],"useful":[3],"in":[4,18],"many":[5],"remote":[6],"sensing":[7],"tasks.":[8],"However,":[9],"it":[10],"often":[12],"challenging":[13],"to":[14,26,53],"obtain":[15,54],"high-resolution":[16],"images":[17,51],"both":[19],"the":[20,74,90,98,130,147,161,167],"spatial":[21,40,48,57,103],"and":[22,45,81,95,123,152],"spectral":[23,105],"domains":[24],"due":[25],"hardware":[27],"limitations.":[28],"image":[30,43,60,121],"fusion":[31,122],"(HIF)":[32],"solves":[33],"this":[34,108],"problem":[35],"by":[36],"fusing":[37],"a":[38,46,55,112],"low":[39],"resolution":[41,49,58],"hyperspectral":[42,59],"(LR-HSI)":[44],"high":[47,56],"multispectral":[50],"(HR-MSI)":[52],"(HR-HSI).":[61],"Many":[62],"methods":[63],"have":[64,72],"been":[65],"proposed":[66,162],"for":[67,125],"HIF,":[68],"but":[69],"few":[70],"approaches":[71],"explored":[73],"multiscale":[75,114,139],"mutual":[76,86,148],"dependencies":[77,87],"between":[78],"LR-HSI,":[79,93],"HR-MSI,":[80,94],"HR-HSI.":[82],"This":[83],"kind":[84],"of":[85],"come":[88],"from":[89],"fact":[91],"that":[92,118,160],"HR-HSI":[96],"capture":[97],"same":[99],"scene":[100],"with":[101,132,138],"different":[102],"or":[104],"resolutions.":[106],"To":[107],"end,":[109],"we":[110],"propose":[111],"deep":[113],"feedback":[115,135],"network":[116,131],"(DMFBN)":[117],"iteratively":[119],"learns":[120],"degeneration":[124],"HIF.":[126],"We":[127],"further":[128],"equip":[129],"an":[133],"error":[134],"mechanism":[136],"coupled":[137],"feature":[140],"learning.":[141],"Both":[142],"strategies":[143],"help":[144],"better":[145],"learn":[146],"dependencies.":[149],"Extensive":[150],"quantitative":[151],"qualitative":[153],"evaluations":[154],"on":[155],"two":[156],"public":[157],"datasets":[158],"show":[159],"method":[163],"performs":[164],"favorably":[165],"against":[166],"state-of-the-art":[168],"(SOTA)":[169],"methods.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}