{"id":"https://openalex.org/W4405718285","doi":"https://doi.org/10.1109/tgrs.2024.3519371","title":"Supervised Detail-Guided Multiscale State-Space Model for Pan-Sharpening","display_name":"Supervised Detail-Guided Multiscale State-Space Model for Pan-Sharpening","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405718285","doi":"https://doi.org/10.1109/tgrs.2024.3519371"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3519371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3519371","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/A5100907193","display_name":"Mengjiao Zhao","orcid":"https://orcid.org/0009-0006-5160-0016"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengjiao Zhao","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031614315","display_name":"Mengting Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Ma","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416428","display_name":"Xiangdong Li","orcid":"https://orcid.org/0000-0001-6145-2084"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Li","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652936","display_name":"Xiaowen Ma","orcid":"https://orcid.org/0000-0001-5031-2641"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Ma","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032869178","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-4424-079X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Software Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053061988","display_name":"Siyang Song","orcid":"https://orcid.org/0000-0003-2339-5685"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]},{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Siyang Song","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K","School of Computing and Mathematical Sciences, University of Leicester, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100907193"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.126,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76228141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9176999926567078,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9042999744415283,"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/sharpening","display_name":"Sharpening","score":0.859423041343689},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6233574151992798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6225812435150146},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.47784826159477234},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4263197183609009},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4254000782966614},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.41232770681381226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3792899250984192},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24316439032554626},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20895138382911682},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16107752919197083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13029026985168457},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10091644525527954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0999162495136261},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09633702039718628}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.859423041343689},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6233574151992798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225812435150146},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.47784826159477234},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4263197183609009},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4254000782966614},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.41232770681381226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3792899250984192},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24316439032554626},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20895138382911682},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16107752919197083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13029026985168457},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10091644525527954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0999162495136261},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09633702039718628},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3519371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3519371","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G5274429011","display_name":null,"funder_award_id":"2022Z032","funder_id":"https://openalex.org/F4320336552","funder_display_name":"Science and Technology Innovation 2025 Major Project of Ningbo"}],"funders":[{"id":"https://openalex.org/F4320336552","display_name":"Science and Technology Innovation 2025 Major Project of Ningbo","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1980110630","https://openalex.org/W2001800591","https://openalex.org/W2010319424","https://openalex.org/W2022075948","https://openalex.org/W2035285838","https://openalex.org/W2064076387","https://openalex.org/W2064366277","https://openalex.org/W2100329651","https://openalex.org/W2113338111","https://openalex.org/W2116536901","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2142843085","https://openalex.org/W2152575904","https://openalex.org/W2171108951","https://openalex.org/W2198968434","https://openalex.org/W2462592242","https://openalex.org/W2598146853","https://openalex.org/W2777033955","https://openalex.org/W2792142731","https://openalex.org/W2802309964","https://openalex.org/W2889626069","https://openalex.org/W2910639395","https://openalex.org/W2935896423","https://openalex.org/W2963183385","https://openalex.org/W2964275574","https://openalex.org/W3008439211","https://openalex.org/W3011024422","https://openalex.org/W3081397212","https://openalex.org/W3096904276","https://openalex.org/W3097824737","https://openalex.org/W3109408464","https://openalex.org/W3121629662","https://openalex.org/W3172472472","https://openalex.org/W4210692941","https://openalex.org/W4213185605","https://openalex.org/W4226068212","https://openalex.org/W4229058281","https://openalex.org/W4245766349","https://openalex.org/W4283815286","https://openalex.org/W4288391574","https://openalex.org/W4290043190","https://openalex.org/W4312340363","https://openalex.org/W4312849152","https://openalex.org/W4312918841","https://openalex.org/W4313133670","https://openalex.org/W4319865968","https://openalex.org/W4375802462","https://openalex.org/W4385245566","https://openalex.org/W4385413338","https://openalex.org/W4385764454","https://openalex.org/W4386266673","https://openalex.org/W4386424895","https://openalex.org/W4387880970","https://openalex.org/W4390873230","https://openalex.org/W4391305541","https://openalex.org/W4391935849","https://openalex.org/W4394938955","https://openalex.org/W4403791029","https://openalex.org/W4404214611","https://openalex.org/W4405953164","https://openalex.org/W6623043969","https://openalex.org/W6685078114","https://openalex.org/W6720887540","https://openalex.org/W6743731764","https://openalex.org/W6803444062","https://openalex.org/W6839500301","https://openalex.org/W6841205203","https://openalex.org/W6851118375","https://openalex.org/W6859298233","https://openalex.org/W6860915106","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6862334011"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2025212468","https://openalex.org/W1576223881","https://openalex.org/W4313341912","https://openalex.org/W2352799515","https://openalex.org/W2350469043"],"abstract_inverted_index":{"Pan-sharpening":[0],"reconstructs":[1],"the":[2,31,190,214],"high-resolution":[3],"multispectral":[4,15],"(HR-MS)":[5],"image":[6,12,34,141,192],"from":[7,27],"its":[8],"corresponding":[9],"panchromatic":[10],"(PAN)":[11],"and":[13,79,86,108,155,160,196],"low-resolution":[14],"(LR-MS)":[16],"image.":[17],"However,":[18],"existing":[19,58,81],"deep":[20],"learning":[21],"(DL)-based":[22],"pan-sharpening":[23,88],"methods":[24,59,230],"typically":[25],"suffer":[26],"three":[28,131,144],"challenges:":[29],"1)":[30],"vanilla":[32],"LR-MS":[33,161],"upsampling":[35,180],"employed":[36],"by":[37,92],"them":[38,102],"fails":[39],"to":[40,61,104,151,185,193,212],"consider":[41],"domain":[42],"knowledge,":[43],"thereby":[44],"disregarding":[45],"crucial":[46,64],"information;":[47],"2)":[48],"while":[49],"remote":[50],"sensing":[51],"images":[52,162],"exhibit":[53],"multiscale":[54,65,120,204],"complex":[55],"land":[56],"features,":[57],"fail":[60],"fully":[62],"exploit":[63],"spatial":[66,145,166,187],"information,":[67],"that":[68,136,222],"is,":[69],"scale":[70,167],"transformation":[71],"layers":[72],"in":[73,231],"their":[74,106],"models":[75],"are":[76,90,137],"not":[77],"effective;":[78],"3)":[80],"convolutional":[82],"neural":[83],"network":[84],"(CNN)":[85],"transformer-based":[87],"backbones":[89],"constrained":[91],"inherent":[93],"local":[94,154],"receptive":[95],"fields":[96],"or":[97],"quadratic":[98],"computational":[99,170],"complexity,":[100],"making":[101],"difficult":[103],"balance":[105],"effectiveness":[107],"efficiency.":[109],"To":[110],"address":[111],"these":[112],"issues,":[113],"we":[114],"propose":[115],"a":[116,164,177,202],"novel":[117,178,203],"supervised":[118],"detail-guided":[119,179],"state-space":[121,133],"model":[122,152],"for":[123,139],"pan-sharpening,":[124],"namely":[125],"SDMSPan.":[126],"Our":[127,233],"SDMSPan":[128],"consists":[129],"of":[130,175,189,216],"residual":[132],"modules":[134],"(Res-SSMs)":[135],"responsible":[138],"handling":[140],"information":[142],"at":[143,163,237],"scales,":[146],"where":[147,201],"each":[148,173],"Res-SSM":[149],"aims":[150],"both":[153],"long-range":[156],"dependencies":[157],"between":[158],"PAN":[159,191],"specific":[165],"with":[168],"lower":[169],"cost.":[171],"Between":[172],"pair":[174],"Res-SSMs,":[176],"block":[181],"(DGUB)":[182],"is":[183,209,235],"proposed":[184,211,224],"apply":[186],"details":[188],"guide":[194],"effective":[195],"task-aware":[197],"intermediate":[198,205],"feature":[199],"upsampling,":[200],"spatial-spectral":[206],"supervision":[207],"strategy":[208],"also":[210],"supervise":[213],"training":[215],"every":[217],"DGUB.":[218],"Experimental":[219],"results":[220],"demonstrate":[221],"our":[223],"approach":[225],"significantly":[226],"outperforms":[227],"other":[228],"state-of-the-art":[229],"performance.":[232],"code":[234],"provided":[236],"<uri":[238],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[239],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/zhaomengjiao123/SDMSPan</uri>.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}