{"id":"https://openalex.org/W7150756922","doi":"https://doi.org/10.48550/arxiv.2604.02742","title":"Task-Guided Prompting for Unified Remote Sensing Image Restoration","display_name":"Task-Guided Prompting for Unified Remote Sensing Image Restoration","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150756922","doi":"https://doi.org/10.48550/arxiv.2604.02742"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02742","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.02742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133030223","display_name":"Wenli Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Wenli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133007827","display_name":"Yang Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110583804","display_name":"Xiaomeng Xin","orcid":"https://orcid.org/0009-0006-6307-1465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin, Xiaomeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133048096","display_name":"Zhihong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133053634","display_name":"Jinjun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jinjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121474219","display_name":"Ye Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Ye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.43529999256134033,"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":0.43529999256134033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.21719999611377716,"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":0.1436000019311905,"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/scalability","display_name":"Scalability","score":0.6614000201225281},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.589900016784668},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5896999835968018},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4966999888420105},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4964999854564667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4659000039100647},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4339999854564667},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4339999854564667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494999766349792},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6614000201225281},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.589900016784668},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5486000180244446},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4966999888420105},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4964999854564667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4481000006198883},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4339999854564667},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.361299991607666},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3278000056743622},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2632000148296356},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02742","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.02742","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02742","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":"article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.609442412853241,"id":"https://metadata.un.org/sdg/11"}],"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],"image":[2],"restoration":[3,119,154],"(RSIR)":[4],"is":[5,85],"essential":[6],"for":[7,121,151,201,210],"recovering":[8],"high-fidelity":[9],"imagery":[10],"from":[11],"degraded":[12],"observations,":[13],"enabling":[14],"accurate":[15],"downstream":[16],"analysis.":[17],"However,":[18],"most":[19],"existing":[20],"methods":[21],"focus":[22],"on":[23,164],"single":[24,128,192],"degradation":[25,123,188],"types":[26],"within":[27,75,190],"homogeneous":[28],"data,":[29],"restricting":[30],"their":[31],"practicality":[32],"in":[33,177],"real-world":[34],"scenarios":[35,168],"where":[36],"multiple":[37],"degradations":[38],"often":[39],"across":[40],"diverse":[41],"spectral":[42],"bands":[43],"or":[44],"sensor":[45],"modalities,":[46],"creating":[47],"a":[48,60,76,86,127,139,191,198,205],"significant":[49,199],"operational":[50,211],"bottleneck.":[51],"To":[52,133],"address":[53],"this":[54,195],"fundamental":[55],"gap,":[56],"we":[57,137],"propose":[58],"TGPNet,":[59],"unified":[61,78,140,166],"framework":[62,84],"capable":[63],"of":[64,82,130],"handling":[65],"denoising,":[66],"cloud":[67,182],"removal,":[68,70],"shadow":[69],"deblurring,":[71],"and":[72,147,169,207,215],"SAR":[73],"despeckling":[74],"single,":[77],"architecture.":[79],"The":[80,213],"core":[81],"our":[83,135],"novel":[87],"Task-Guided":[88],"Prompting":[89],"(TGP)":[90],"strategy.":[91],"TGP":[92],"leverages":[93],"learnable,":[94],"task-specific":[95],"embeddings":[96],"to":[97,115],"generate":[98],"degradation-aware":[99],"cues,":[100],"which":[101],"then":[102],"hierarchically":[103],"modulate":[104],"features":[105],"throughout":[106],"the":[107,113],"decoder.":[108],"This":[109],"task-adaptive":[110],"mechanism":[111],"allows":[112],"network":[114],"precisely":[116],"tailor":[117],"its":[118],"process":[120],"distinct":[122],"patterns":[124],"while":[125],"maintaining":[126],"set":[129],"shared":[131],"weights.":[132],"validate":[134],"framework,":[136,194],"construct":[138],"RSIR":[141],"benchmark":[142,216],"covering":[143],"RGB,":[144],"multispectral,":[145],"SAR,":[146],"thermal":[148],"infrared":[149],"modalities":[150],"five":[152],"aforementioned":[153],"tasks.":[155],"Experimental":[156],"results":[157],"demonstrate":[158],"that":[159],"TGPNet":[160],"achieves":[161],"state-of-the-art":[162],"performance":[163],"both":[165],"multi-task":[167,202],"unseen":[170],"composite":[171],"degradations,":[172],"surpassing":[173],"even":[174],"specialized":[175],"models":[176],"individual":[178],"domains":[179],"such":[180],"as":[181],"removal.":[183],"By":[184],"successfully":[185],"unifying":[186],"heterogeneous":[187],"removal":[189],"adaptive":[193],"work":[196],"presents":[197],"advancement":[200],"RSIR,":[203],"offering":[204],"practical":[206],"scalable":[208],"solution":[209],"pipelines.":[212],"code":[214],"will":[217],"be":[218],"released":[219],"at":[220],"https://github.com/huangwenwenlili/TGPNet.":[221]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-07T00:00:00"}