{"id":"https://openalex.org/W4387986465","doi":"https://doi.org/10.1109/tnnls.2023.3325887","title":"Feature Pyramid Fusion Network for Hyperspectral Pansharpening","display_name":"Feature Pyramid Fusion Network for Hyperspectral Pansharpening","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4387986465","doi":"https://doi.org/10.1109/tnnls.2023.3325887","pmid":"https://pubmed.ncbi.nlm.nih.gov/37889826"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3325887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3325887","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5045803591","display_name":"Wenqian Dong","orcid":"https://orcid.org/0000-0002-0692-9676"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqian Dong","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044914605","display_name":"Yihan Yang","orcid":"https://orcid.org/0000-0002-6377-050X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Yang","raw_affiliation_strings":["School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044736869","display_name":"Jiahui Qu","orcid":"https://orcid.org/0000-0002-3925-2884"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Qu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0640-4060"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028464253","display_name":"Yufei Yang","orcid":"https://orcid.org/0000-0002-1335-038X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Yang","raw_affiliation_strings":["School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Network, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045803591"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":4.8889,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95687659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"1","first_page":"1555","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.991100013256073,"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/panchromatic-film","display_name":"Panchromatic film","score":0.9047368168830872},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.759544849395752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7198435068130493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6814982891082764},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6789920330047607},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6289263367652893},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6056355237960815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5905876159667969},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5312855839729309},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5147188305854797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5143460035324097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5131328701972961},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.46216320991516113},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.44207894802093506},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44119471311569214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18988874554634094}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.9047368168830872},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.759544849395752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7198435068130493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6814982891082764},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6789920330047607},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6289263367652893},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6056355237960815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5905876159667969},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5312855839729309},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5147188305854797},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5143460035324097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5131328701972961},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.46216320991516113},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.44207894802093506},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44119471311569214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18988874554634094},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/tnnls.2023.3325887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3325887","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37889826","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37889826","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1249714260","display_name":null,"funder_award_id":"2023T160502","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3275247262","display_name":null,"funder_award_id":"ZYTS23174","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3283579519","display_name":null,"funder_award_id":"2021M702546","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4037666598","display_name":null,"funder_award_id":"QTZX23092","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5516072448","display_name":null,"funder_award_id":"62201423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7580887533","display_name":null,"funder_award_id":"2021M702548","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8108428442","display_name":null,"funder_award_id":"2022T150508","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8282386850","display_name":null,"funder_award_id":"62101414","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1940108662","https://openalex.org/W1980110630","https://openalex.org/W1990231296","https://openalex.org/W2001800591","https://openalex.org/W2021046129","https://openalex.org/W2097259623","https://openalex.org/W2124743705","https://openalex.org/W2144436897","https://openalex.org/W2171108951","https://openalex.org/W2336309239","https://openalex.org/W2462592242","https://openalex.org/W2619662254","https://openalex.org/W2910457605","https://openalex.org/W2942454403","https://openalex.org/W2948669395","https://openalex.org/W2963183385","https://openalex.org/W2964101377","https://openalex.org/W2964275574","https://openalex.org/W2980930055","https://openalex.org/W2988442756","https://openalex.org/W3019893222","https://openalex.org/W3029812440","https://openalex.org/W3083226173","https://openalex.org/W3096904276","https://openalex.org/W3163345093","https://openalex.org/W3165892790","https://openalex.org/W3168690312","https://openalex.org/W3200799048","https://openalex.org/W3202568050","https://openalex.org/W3216217554","https://openalex.org/W4200148762","https://openalex.org/W4200634427","https://openalex.org/W4214806231","https://openalex.org/W4285506148","https://openalex.org/W4309582181","https://openalex.org/W4312999834","https://openalex.org/W4316013166","https://openalex.org/W4366957284","https://openalex.org/W4367834188","https://openalex.org/W4385269049","https://openalex.org/W4385453384","https://openalex.org/W4386275830","https://openalex.org/W6631190155","https://openalex.org/W6633088995","https://openalex.org/W6685078114"],"related_works":["https://openalex.org/W1930929277","https://openalex.org/W2158394102","https://openalex.org/W2361746014","https://openalex.org/W1502637513","https://openalex.org/W2124952510","https://openalex.org/W2375311607","https://openalex.org/W2022261651","https://openalex.org/W4285005667","https://openalex.org/W2950729865","https://openalex.org/W2565514930"],"abstract_inverted_index":{"Hyperspectral":[0],"(HS)":[1],"pansharpening":[2,43],"aims":[3],"at":[4],"fusing":[5],"an":[6,17],"observed":[7],"HS":[8,117,150,180,197],"image":[9,18,49,66,84,138],"with":[10,19,155,163,174],"a":[11,98,188],"panchromatic":[12],"(PAN)":[13],"image,":[14],"to":[15,75,110,190,193],"produce":[16],"the":[20,25,28,33,37,46,51,57,65,87,108,127,132,136,149,158,164,195,205,209,213],"high":[21,29],"spectral":[22],"resolution":[23,31,134],"of":[24,32,36,64,90,135,148,157,177,208,218],"former":[26],"and":[27,67,79,116,139,167,179,184,221],"spatial":[30,133],"latter.":[34],"Most":[35],"existing":[38],"convolutional":[39],"neural":[40],"networks":[41],"(CNNs)-based":[42],"methods":[44,215],"reconstruct":[45,194],"desired":[47],"high-resolution":[48,78,83,128,170,196],"from":[50,114,126],"encoded":[52,58],"low-resolution":[53],"(LR)":[54],"representation.":[55],"However,":[56],"LR":[59,80,142,165],"representation":[60],"captures":[61],"semantic":[62],"information":[63],"is":[68,86],"inadequate":[69],"in":[70,119,144,187,216],"reconstructing":[71],"fine":[72,191],"details.":[73],"How":[74],"effectively":[76],"extract":[77,111],"representations":[81,113,173],"for":[82,104],"reconstruction":[85],"main":[88],"objective":[89],"this":[91,94],"article.":[92],"In":[93],"article,":[95],"we":[96],"propose":[97],"feature":[99],"pyramid":[100],"fusion":[101],"network":[102,109],"(FPFNet)":[103],"pansharpening,":[105],"which":[106],"permits":[107],"multiresolution":[112],"PAN":[115,123,137,159,178],"images":[118],"two":[120],"branches.":[121],"The":[122,146,172],"branch":[124,151],"starts":[125,162],"stream":[129,166],"that":[130,156],"maintains":[131],"gradually":[140,168,185],"adds":[141,169],"streams":[143],"parallel.":[145],"structure":[147],"remains":[152],"highly":[153],"consistent":[154],"branch,":[160],"but":[161],"streams.":[171],"corresponding":[175],"resolutions":[176],"branches":[181],"are":[182],"fused":[183],"upsampled":[186],"coarse":[189],"manner":[192],"image.":[198],"Experimental":[199],"results":[200],"on":[201],"three":[202],"datasets":[203],"demonstrate":[204],"significant":[206],"superiority":[207],"proposed":[210],"FPFNet":[211],"over":[212],"state-of-the-art":[214],"terms":[217],"both":[219],"qualitative":[220],"quantitative":[222],"comparisons.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":9}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}