{"id":"https://openalex.org/W7154417740","doi":"https://doi.org/10.48550/arxiv.2604.10112","title":"Dual-Branch Remote Sensing Infrared Image Super-Resolution","display_name":"Dual-Branch Remote Sensing Infrared Image Super-Resolution","publication_year":2026,"publication_date":"2026-04-11","ids":{"openalex":"https://openalex.org/W7154417740","doi":"https://doi.org/10.48550/arxiv.2604.10112"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10112","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.10112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133582953","display_name":"Xining Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Xining","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133618567","display_name":"Gengjia Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Gengjia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102781181","display_name":"Weijun Yuan","orcid":"https://orcid.org/0009-0003-3215-4848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Weijun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133619480","display_name":"Zhan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133552717","display_name":"Zhanglu Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhanglu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025810213","display_name":"Boyang Yao","orcid":"https://orcid.org/0009-0004-3673-1830"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Boyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133567344","display_name":"Yihang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133595257","display_name":"Yifan Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133601212","display_name":"Shuhong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shuhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.4507000148296356,"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":0.4507000148296356,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.2513999938964844,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.09390000253915787,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/infrared","display_name":"Infrared","score":0.5468999743461609},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.5054000020027161},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.41339999437332153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37380000948905945},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3716000020503998},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.34700000286102295},{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.319599986076355}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7026000022888184},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5254999995231628},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.5054000020027161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4814000129699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327999949455261},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.319599986076355},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2978000044822693},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C87456703","wikidata":"https://www.wikidata.org/wiki/Q247760","display_name":"Radiometry","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.27090001106262207},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26899999380111694},{"id":"https://openalex.org/C2778522173","wikidata":"https://www.wikidata.org/wiki/Q7281293","display_name":"Radiometric calibration","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10112","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10112","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10112","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4199758768081665}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"infrared":[2,132],"image":[3],"super-resolution":[4,133],"aims":[5],"to":[6,34,52],"recover":[7],"sharper":[8],"thermal":[9,26,105],"observations":[10],"from":[11,108,135],"low-resolution":[12],"inputs":[13],"while":[14],"preserving":[15],"target":[16],"contours,":[17],"scene":[18],"layout,":[19],"and":[20,31,42,68,85,97,124,143],"radiometric":[21],"stability.":[22],"Unlike":[23],"visible-image":[24],"super-resolution,":[25],"imagery":[27],"is":[28],"weakly":[29],"textured":[30],"more":[32],"sensitive":[33],"unstable":[35],"local":[36,41,77],"sharpening,":[37],"which":[38,113],"makes":[39],"complementary":[40],"global":[43],"modeling":[44],"especially":[45],"important.":[46],"This":[47],"paper":[48],"presents":[49],"our":[50],"solution":[51],"the":[53,93,114,125],"NTIRE":[54],"2026":[55],"Infrared":[56],"Image":[57],"Super-Resolution":[58],"Challenge,":[59],"a":[60,65,69,98],"dual-branch":[61],"system":[62],"that":[63,131],"combines":[64],"HAT-L":[66],"branch":[67,120],"MambaIRv2-L":[70],"branch.":[71],"The":[72,128],"inference":[73],"pipeline":[74],"applies":[75],"test-time":[76],"conversion":[78],"on":[79,83,101,112],"HAT,":[80],"eight-way":[81],"self-ensemble":[82],"MambaIRv2,":[84],"fixed":[86],"equal-weight":[87],"image-space":[88],"fusion.":[89],"We":[90],"report":[91],"both":[92],"official":[94],"challenge":[95],"score":[96],"reproducible":[99],"evaluation":[100],"12":[102],"synthetic":[103],"times-four":[104],"samples":[106],"derived":[107],"Caltech":[109],"Aerial":[110],"RGB-Thermal,":[111],"fused":[115],"output":[116],"outperforms":[117],"either":[118],"single":[119],"in":[121],"PSNR,":[122],"SSIM,":[123],"overall":[126],"Score.":[127],"results":[129],"suggest":[130],"benefits":[134],"explicit":[136],"complementarity":[137],"between":[138],"locally":[139],"strong":[140],"transformer":[141],"restoration":[142],"globally":[144],"stable":[145],"state-space":[146],"modeling.":[147]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}