{"id":"https://openalex.org/W7164935383","doi":"https://doi.org/10.48550/arxiv.2606.16392","title":"Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network","display_name":"Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164935383","doi":"https://doi.org/10.48550/arxiv.2606.16392"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16392","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":null,"license_id":null,"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.2606.16392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138700663","display_name":"Wenxuan Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Wenxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102678186","display_name":"Jiangwei Weng","orcid":"https://orcid.org/0000-0001-6191-1252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weng, Jiangwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138730001","display_name":"Yu Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138703211","display_name":"Junkai Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Junkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138753191","display_name":"Guangfa Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guangfa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138757343","display_name":"Xiang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138752770","display_name":"Jun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jun","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/T11019","display_name":"Image Enhancement Techniques","score":0.9641000032424927,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9641000032424927,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.0044999998062849045,"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":0.0034000000450760126,"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/haze","display_name":"Haze","score":0.9053999781608582},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.508400022983551},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.4936000108718872},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.48339998722076416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46050000190734863},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4553000032901764},{"id":"https://openalex.org/keywords/extinction","display_name":"Extinction (optical mineralogy)","score":0.3880000114440918}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.9053999781608582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416000127792358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6021000146865845},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5338000059127808},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46050000190734863},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4553000032901764},{"id":"https://openalex.org/C101991246","wikidata":"https://www.wikidata.org/wiki/Q5422078","display_name":"Extinction (optical mineralogy)","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C150493377","wikidata":"https://www.wikidata.org/wiki/Q1427863","display_name":"Transmittance","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C196875640","wikidata":"https://www.wikidata.org/wiki/Q249023","display_name":"Diffuse sky radiation","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2784999907016754},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16392","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.16392","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16392","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,179],"UAV":[1,18,50,68,78,99,134,195,214],"applications,":[2],"haze":[3,48,61,96,196,215],"significantly":[4],"obscures":[5],"distant":[6],"details":[7],"and":[8,90,150,155,170,212],"weaken":[9],"structural":[10],"information,":[11],"hindering":[12],"the":[13,30,36,45,59,64,94,147,173],"recovery":[14],"of":[15,67,120,175],"details.":[16],"Current":[17],"scenarios":[19],"still":[20],"face":[21],"two":[22],"key":[23,122],"challenges:":[24],"(i)":[25],"paired":[26,188],"hazy/clean":[27],"images":[28,197],"from":[29],"real":[31,194,213],"world":[32],"are":[33],"unobtainable,":[34],"while":[35],"classical":[37],"atmospheric":[38],"scattering":[39],"model":[40],"is":[41],"inadequate":[42],"for":[43,198],"modeling":[44],"spatially":[46],"non-uniform":[47,95],"in":[49,63,98],"imagery;":[51],"(ii)":[52],"existing":[53,207],"dehazing":[54,108],"methods":[55,208],"struggle":[56],"to":[57,92,167],"remove":[58],"heavy":[60],"accumulated":[62],"upper":[65],"regions":[66],"images.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"we":[74,104,181],"first":[75],"propose":[76],"a":[77,106,124,137],"Atmospheric":[79],"Scattering":[80],"Model":[81],"(UASM),":[82],"which":[83,185],"explicitly":[84],"incorporates":[85],"flight":[86],"altitude,":[87],"viewing":[88],"pitch,":[89],"extinction":[91],"characterize":[93],"distribution":[97],"imaging.":[100],"Based":[101],"on":[102,209],"UASM,":[103],"develop":[105],"physics-driven":[107],"framework,":[109],"termed":[110],"Geometry-aware":[111,138],"Proximal":[112,158],"Deep":[113],"Unfolding":[114],"Network":[115],"(GP-DUN).":[116],"Specifically,":[117],"GP-DUN":[118,204],"consists":[119],"three":[121],"modules:":[123],"Latent":[125],"Geometry":[126],"Estimator":[127],"(LGE)":[128],"that":[129,143,162,203],"infers":[130],"transmittance":[131],"consistent":[132],"with":[133,192],"imaging":[135],"geometry,":[136],"Gradient":[139],"Descent":[140],"Module":[141,160],"(GeoGDM)":[142],"embeds":[144],"UASM":[145],"into":[146],"data-fidelity":[148],"term":[149],"performs":[151],"physics-consistent":[152],"closed-form":[153],"updates,":[154],"an":[156,164],"Pooling-Expert":[157],"Mapping":[159],"(PE-PMM)":[161],"learns":[163],"implicit":[165],"prior":[166],"restore":[168],"textures":[169],"structures":[171],"beyond":[172],"capability":[174],"explicit":[176],"physical":[177],"modeling.":[178],"addition,":[180],"further":[182],"construct":[183],"UASM-HazeSet,":[184],"provides":[186],"controllable":[187],"synthetic":[189],"data":[190],"together":[191],"2,285":[193],"testing.":[199],"Extensive":[200],"experiments":[201],"show":[202],"consistently":[205],"outperforms":[206],"both":[210],"UASM-HazeSet":[211],"benchmarks.":[216]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}