{"id":"https://openalex.org/W4415481178","doi":"https://doi.org/10.1109/tgrs.2025.3624868","title":"DISR: A New Dual-Domain Implicit Super-Resolution Method for Remotely Sensed Imagery","display_name":"DISR: A New Dual-Domain Implicit Super-Resolution Method for Remotely Sensed Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415481178","doi":"https://doi.org/10.1109/tgrs.2025.3624868"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3624868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3624868","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/A5031602262","display_name":"Yongxin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongxin Liu","raw_affiliation_strings":["China University of Geosciences, Wuhan, China","China University of Geosciences (Wuhan), China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"China University of Geosciences (Wuhan), China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010242765","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0002-9896-1656"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","Wuhan University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013872043","display_name":"Zhaozhao Zeng","orcid":"https://orcid.org/0000-0002-4937-6688"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaozhao Zeng","raw_affiliation_strings":["China University of Geosciences, Wuhan, China","China University of Geosciences (Wuhan), China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"China University of Geosciences (Wuhan), China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["China University of Geosciences, Wuhan, China","China University of Geosciences (Wuhan), China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"China University of Geosciences (Wuhan), China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031602262"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37233578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9804999828338623,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9761000275611877,"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/feature-extraction","display_name":"Feature extraction","score":0.5583000183105469},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5321000218391418},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5098999738693237},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4927999973297119},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.48159998655319214},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4489000141620636},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4163999855518341},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4025999903678894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622999787330627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248999834060669},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5321000218391418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5169000029563904},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5098999738693237},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4927999973297119},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4489000141620636},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30979999899864197},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25619998574256897},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3624868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3624868","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/G6242188812","display_name":null,"funder_award_id":"2024AFB105","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6716103886","display_name":null,"funder_award_id":"T2225019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2064076387","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2503339013","https://openalex.org/W2741196023","https://openalex.org/W2764034829","https://openalex.org/W2776107444","https://openalex.org/W2792955223","https://openalex.org/W2866634454","https://openalex.org/W2920074116","https://openalex.org/W2927933146","https://openalex.org/W2962785568","https://openalex.org/W2963031226","https://openalex.org/W2963111219","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2964325628","https://openalex.org/W2994323562","https://openalex.org/W2997019934","https://openalex.org/W3011456574","https://openalex.org/W3034771037","https://openalex.org/W3035515538","https://openalex.org/W3045166475","https://openalex.org/W3096993895","https://openalex.org/W3118519535","https://openalex.org/W3135879617","https://openalex.org/W3159204917","https://openalex.org/W3174865552","https://openalex.org/W4206433182","https://openalex.org/W4285117320","https://openalex.org/W4308235807","https://openalex.org/W4312985394","https://openalex.org/W4313529200","https://openalex.org/W4318149001","https://openalex.org/W4319999899","https://openalex.org/W4327785494","https://openalex.org/W4366151927","https://openalex.org/W4367721767","https://openalex.org/W4386075678","https://openalex.org/W4386076246","https://openalex.org/W4394698978","https://openalex.org/W4400579361","https://openalex.org/W4405102038"],"related_works":[],"abstract_inverted_index":{"Implicit":[0,86,167],"neural":[1],"representations":[2],"are":[3],"increasingly":[4],"recognized":[5],"as":[6,64],"a":[7,65,83,172],"transformative":[8],"approach":[9],"for":[10,32,107],"arbitrary-scale":[11],"image":[12],"Super-Resolution":[13,87],"(SR),":[14],"demonstrating":[15],"capabilities":[16],"that":[17,74,90,189],"transcend":[18],"traditional":[19],"upscaling":[20],"methods.":[21],"However,":[22],"the":[23,39,61,69,98],"high":[24],"complexity":[25],"of":[26,71,201],"urban":[27],"structures":[28],"poses":[29],"significant":[30],"challenges":[31],"existing":[33],"methods,":[34],"which":[35,125,147,170],"mainly":[36],"operate":[37],"in":[38,56,199],"spatial":[40,99,153],"domain":[41,63],"and":[42,49,93,100,127,135,159,162,213],"often":[43],"fail":[44],"to":[45,155,178],"recover":[46],"fine-grained":[47,76],"textures":[48,212],"high-frequency":[50,72,211],"details.":[51,216],"To":[52],"overcome":[53],"this":[54,57,80],"limitation,":[55],"work":[58],"we":[59],"consider":[60],"frequency":[62,101],"complementary":[66,129],"representation,":[67],"enabling":[68,103],"extraction":[70],"information":[73],"enhances":[75,128],"detail":[77],"reconstruction.":[78],"Specifically,":[79],"study":[81],"proposes":[82],"new":[84,191],"Dual-domain":[85,120,141],"(DISR)":[88],"framework":[89,193],"simultaneously":[91],"extracts":[92,126],"fuses":[94],"features":[95,130,154],"from":[96,175],"both":[97,132],"domains,":[102],"continuous":[104],"representation":[105],"learning":[106],"remote":[108],"sensing":[109],"images.":[110],"The":[111,119,140,164,217],"DISR":[112,192],"architecture":[113],"comprises":[114],"three":[115],"key":[116],"components:":[117],"(1)":[118],"Feature":[121],"Extraction":[122],"(DFE)":[123],"module,":[124],"encompassing":[131],"local":[133],"details":[134],"global":[136],"structural":[137,160,215],"information;":[138],"(2)":[139],"Cross":[142],"Attention":[143],"Fusion":[144],"(DCAF)":[145],"mechanism,":[146],"dynamically":[148],"integrates":[149],"frequency-domain":[150],"cues":[151],"with":[152],"improve":[156],"texture":[157],"fidelity":[158],"coherence;":[161],"(3)":[163],"Dual-path":[165],"Adaptive":[166],"Parser":[168],"(DAIP),":[169],"establishes":[171],"nonlinear":[173],"mapping":[174],"coordinate":[176],"positions":[177],"pixel":[179],"values":[180],"through":[181],"parallel":[182],"global-local":[183],"processing":[184],"pathways.":[185],"Experimental":[186],"results":[187],"demonstrate":[188],"our":[190],"not":[194],"only":[195],"improves":[196],"other":[197],"methods":[198],"terms":[200],"overall":[202],"reconstruction":[203],"quality":[204],"metrics,":[205],"but":[206],"also":[207],"excels":[208],"at":[209,221],"restoring":[210],"fine":[214],"code":[218],"is":[219],"available":[220],"https://github.com/Liuyx-max/DISR.":[222]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-23T00:00:00"}