{"id":"https://openalex.org/W4414856531","doi":"https://doi.org/10.1109/tgrs.2025.3617006","title":"GDSR: Global-Detail Integration Through Dual-Branch Network With Wavelet Losses for Remote Sensing Image Super-Resolution","display_name":"GDSR: Global-Detail Integration Through Dual-Branch Network With Wavelet Losses for Remote Sensing Image Super-Resolution","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414856531","doi":"https://doi.org/10.1109/tgrs.2025.3617006"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3617006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3617006","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/A5088632555","display_name":"Qiwei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiwei Zhu","raw_affiliation_strings":["School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","School of Computer Technology and Application, Qinghai University, Xining, China"],"raw_orcid":"https://orcid.org/0009-0008-3175-977X","affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]},{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-4960-3019"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4960-3019","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052762597","display_name":"Guojing Zhang","orcid":"https://orcid.org/0000-0003-2152-4105"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojing Zhang","raw_affiliation_strings":["School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","School of Computer Technology and Application, Qinghai University, Xining, China"],"raw_orcid":"https://orcid.org/0000-0003-2152-4105","affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]},{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700839","display_name":"Xiaoying Wang","orcid":"https://orcid.org/0000-0003-1029-0358"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoying Wang","raw_affiliation_strings":["School of Computer and Information Science, Qinghai Institute of Technology, Xining, China"],"raw_orcid":"https://orcid.org/0000-0003-1029-0358","affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Qinghai Institute of Technology, Xining, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianqiang Huang","orcid":"https://orcid.org/0000-0002-4454-7919"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Huang","raw_affiliation_strings":["School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","School of Computer Technology and Application, Qinghai University, Xining, China"],"raw_orcid":"https://orcid.org/0000-0002-4454-7919","affiliations":[{"raw_affiliation_string":"School of Computer Technology and Application and Qinghai Provincial Laboratory for Intelligent Computing and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]},{"raw_affiliation_string":"School of Computer Technology and Application, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068555152","display_name":"Xilai Li","orcid":"https://orcid.org/0000-0001-9171-2481"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilai Li","raw_affiliation_strings":["College of Agriculture and Animal Husbandry, Qinghai University, Xining, China"],"raw_orcid":"https://orcid.org/0000-0001-9171-2481","affiliations":[{"raw_affiliation_string":"College of Agriculture and Animal Husbandry, Qinghai University, Xining, China","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088632555"],"corresponding_institution_ids":["https://openalex.org/I116265982"],"apc_list":null,"apc_paid":null,"fwci":4.0969,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9458629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9878000020980835,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9878000020980835,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.984499990940094,"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":0.9764999747276306,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6359999775886536},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49470001459121704},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45809999108314514},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42649999260902405},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4221999943256378},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.39579999446868896},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.38339999318122864},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3785000145435333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615000009536743},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6359999775886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126000046730042},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42649999260902405},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41690000891685486},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38199999928474426},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3343000113964081},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2574999928474426},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3617006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3617006","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/G1628229089","display_name":null,"funder_award_id":"No.U23A20159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3214069095","display_name":null,"funder_award_id":"No. 62162053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3634342484","display_name":null,"funder_award_id":"No. 2023-ZJ-906M","funder_id":"https://openalex.org/F4320335921","funder_display_name":"Natural Science Foundation of Qinghai"},{"id":"https://openalex.org/G6143419445","display_name":null,"funder_award_id":"2023-ZJ-906M","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G6548260299","display_name":null,"funder_award_id":"No.42265010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7628898272","display_name":null,"funder_award_id":"42265010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7779561752","display_name":null,"funder_award_id":"U23A20159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8997134909","display_name":null,"funder_award_id":"62162053","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/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320335921","display_name":"Natural Science Foundation of Qinghai","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/W1980038761","https://openalex.org/W2133665775","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2515866431","https://openalex.org/W2612218357","https://openalex.org/W2618530766","https://openalex.org/W2776107444","https://openalex.org/W2962785568","https://openalex.org/W2962814024","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964060609","https://openalex.org/W2976372274","https://openalex.org/W2983873691","https://openalex.org/W3013036575","https://openalex.org/W3014422499","https://openalex.org/W3032940603","https://openalex.org/W3096993895","https://openalex.org/W3153239544","https://openalex.org/W3178925107","https://openalex.org/W3202923600","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W4206433182","https://openalex.org/W4286484337","https://openalex.org/W4289752563","https://openalex.org/W4376619155","https://openalex.org/W4379746182","https://openalex.org/W4381730126","https://openalex.org/W4385945538","https://openalex.org/W4386083034","https://openalex.org/W4389334361","https://openalex.org/W4389524555","https://openalex.org/W4399939400","https://openalex.org/W4402753767","https://openalex.org/W4402754219","https://openalex.org/W4402916043","https://openalex.org/W4402952320","https://openalex.org/W4403484832","https://openalex.org/W4403887646","https://openalex.org/W4404410993","https://openalex.org/W4405908078","https://openalex.org/W4407450341","https://openalex.org/W4409014340"],"related_works":[],"abstract_inverted_index":{"In":[0,150],"recent":[1],"years,":[2],"deep":[3],"neural":[4],"networks,":[5],"including":[6,186],"Convolutional":[7],"Neural":[8],"Networks,":[9],"Transformers,":[10],"and":[11,37,64,107,123,167,189,215],"State":[12],"Space":[13],"Models,":[14],"have":[15],"achieved":[16],"significant":[17],"progress":[18],"in":[19,54,175,206],"Remote":[20],"Sensing":[21],"Image":[22],"(RSI)":[23],"Super-Resolution":[24],"(SR).":[25],"However,":[26],"existing":[27],"SR":[28,119],"methods":[29,41,182],"typically":[30],"overlook":[31],"the":[32,85,112,133,142,154,195],"complementary":[33,148],"relationship":[34],"between":[35,141],"global":[36,50,63,106],"local":[38,46,65,108],"dependencies.":[39],"These":[40],"either":[42],"focus":[43],"on":[44,183],"capturing":[45],"information":[47],"or":[48],"prioritize":[49],"information,":[51],"which":[52,96,117],"results":[53],"models":[55],"that":[56,192],"are":[57],"unable":[58],"to":[59,76,94,126,145],"effectively":[60],"capture":[61],"both":[62],"features":[66],"simultaneously.":[67],"Moreover,":[68],"their":[69,147],"computational":[70],"cost":[71],"becomes":[72],"prohibitive":[73],"when":[74],"applied":[75],"large-scale":[77,128],"RSIs.":[78,129],"To":[79,103],"address":[80],"these":[81],"challenges,":[82],"we":[83,110,131,152],"introduce":[84,132],"novel":[86],"application":[87],"of":[88,203,212,217],"Receptance":[89],"Weighted":[90],"Key":[91],"Value":[92],"(RWKV)":[93],"RSI-SR,":[95],"captures":[97],"long-range":[98],"dependencies":[99],"with":[100],"linear":[101],"complexity.":[102],"simultaneously":[104],"model":[105],"features,":[109],"propose":[111,153],"Global-Detail":[113,134],"dual-branch":[114],"structure,":[115],"GDSR,":[116],"performs":[118],"by":[120,200],"paralleling":[121],"RWKV":[122],"convolutional":[124],"operations":[125],"handle":[127],"Furthermore,":[130],"Reconstruction":[135],"Module":[136],"(GDRM)":[137],"as":[138],"an":[139,201,221],"intermediary":[140],"two":[143,180],"branches":[144],"bridge":[146],"roles.":[149],"addition,":[151],"Dual-Group":[155],"Multi-Scale":[156],"Wavelet":[157],"Loss,":[158],"a":[159],"wavelet-domain":[160],"constraint":[161],"mechanism":[162],"via":[163],"dual-group":[164],"subband":[165],"strategy":[166],"cross-resolution":[168],"frequency":[169],"alignment":[170],"for":[171],"enhanced":[172],"reconstruction":[173],"fidelity":[174],"RSI-SR.":[176],"Extensive":[177],"experiments":[178],"under":[179],"degradation":[181],"several":[184],"benchmarks,":[185],"AID,":[187],"UCMerced,":[188],"RSSRD-QH,":[190],"demonstrate":[191],"GSDR":[193],"outperforms":[194],"state-of-the-art":[196],"Transformer-based":[197],"method":[198],"HAT":[199],"average":[202],"0.09":[204],"dB":[205],"PSNR,":[207],"while":[208],"using":[209],"only":[210],"63%":[211],"its":[213,218],"parameters":[214],"51%":[216],"FLOPs,":[219],"achieving":[220],"inference":[222],"speed":[223],"3.2":[224],"times":[225],"faster.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
