{"id":"https://openalex.org/W4411799287","doi":"https://doi.org/10.1109/tgrs.2025.3584234","title":"Real-World Remote Sensing Image Dehazing: Benchmark and Baseline","display_name":"Real-World Remote Sensing Image Dehazing: Benchmark and Baseline","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411799287","doi":"https://doi.org/10.1109/tgrs.2025.3584234"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3584234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584234","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.17966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zeng-Hui Zhu","orcid":"https://orcid.org/0009-0008-6684-9521"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng-Hui Zhu","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0008-6684-9521","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092067348","display_name":"Wei Lu","orcid":"https://orcid.org/0009-0004-5197-5753"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0004-5197-5753","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897927","display_name":"Si-Bao Chen","orcid":"https://orcid.org/0000-0003-1481-0162"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Bao Chen","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1481-0162","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102823200","display_name":"Chris Ding","orcid":"https://orcid.org/0009-0009-3374-1941"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chris H. Q. Ding","raw_affiliation_strings":["School of Data Science (SDS), The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science (SDS), The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8375-3590","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5948-5055","affiliations":[{"raw_affiliation_string":"MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.2895,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.98595198,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9979000091552734,"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":0.9869999885559082,"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/baseline","display_name":"Baseline (sea)","score":0.7584624290466309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7247331142425537},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6833491325378418},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6361151933670044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4989497661590576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4302464723587036},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2494274377822876},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.07535126805305481}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7584624290466309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7247331142425537},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6833491325378418},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6361151933670044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4989497661590576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4302464723587036},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2494274377822876},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.07535126805305481},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2025.3584234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584234","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"},{"id":"pmh:oai:arXiv.org:2503.17966","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.17966","pdf_url":"https://arxiv.org/pdf/2503.17966","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.17966","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.17966","pdf_url":"https://arxiv.org/pdf/2503.17966","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2231845458","display_name":null,"funder_award_id":"61860206004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":70,"referenced_works":["https://openalex.org/W1507945332","https://openalex.org/W1977725648","https://openalex.org/W2102166818","https://openalex.org/W2121880036","https://openalex.org/W2128254161","https://openalex.org/W2150969685","https://openalex.org/W2156936307","https://openalex.org/W2194775991","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2508457857","https://openalex.org/W2513304712","https://openalex.org/W2519481857","https://openalex.org/W2779176852","https://openalex.org/W2793613573","https://openalex.org/W2901543290","https://openalex.org/W2907674209","https://openalex.org/W2941547246","https://openalex.org/W2963928582","https://openalex.org/W2988209803","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3012965216","https://openalex.org/W3034331889","https://openalex.org/W3041334470","https://openalex.org/W3111802831","https://openalex.org/W3171125843","https://openalex.org/W3215632849","https://openalex.org/W4225672218","https://openalex.org/W4226226289","https://openalex.org/W4294891478","https://openalex.org/W4296339248","https://openalex.org/W4297775537","https://openalex.org/W4312378774","https://openalex.org/W4327808545","https://openalex.org/W4360930317","https://openalex.org/W4379033857","https://openalex.org/W4380303497","https://openalex.org/W4382203405","https://openalex.org/W4382238344","https://openalex.org/W4385299503","https://openalex.org/W4385801302","https://openalex.org/W4385834539","https://openalex.org/W4386002570","https://openalex.org/W4386047745","https://openalex.org/W4387092287","https://openalex.org/W4387250673","https://openalex.org/W4391469606","https://openalex.org/W4397028404","https://openalex.org/W4399426084","https://openalex.org/W4399555042","https://openalex.org/W4400073536","https://openalex.org/W4401991131","https://openalex.org/W4402451203","https://openalex.org/W4402742843","https://openalex.org/W4402816933","https://openalex.org/W4402987513","https://openalex.org/W4403147069","https://openalex.org/W4406172211","https://openalex.org/W4406603929","https://openalex.org/W4407637960","https://openalex.org/W4407638769","https://openalex.org/W4409368313","https://openalex.org/W6726381175","https://openalex.org/W6737664043","https://openalex.org/W6757526026","https://openalex.org/W6866462708","https://openalex.org/W6869651943","https://openalex.org/W6876739451","https://openalex.org/W6891907370"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Remote":[0,68],"Sensing":[1,69],"Image":[2,71],"Dehazing":[3],"(RSID)":[4],"poses":[5],"significant":[6],"challenges":[7],"in":[8,170],"real-world":[9,28,49,79,100,171,190],"scenarios":[10],"due":[11,51],"to":[12,38,52],"the":[13,53,74],"complex":[14,135,198],"atmospheric":[15,87],"conditions":[16],"and":[17,59,81,124,141,144,159,184,202],"severe":[18],"color":[19,136],"distortions":[20,137],"that":[21,165],"degrade":[22],"image":[23,32,83],"quality.":[24],"The":[25,180,200],"scarcity":[26],"of":[27,182],"remote":[29],"sensing":[30],"hazy":[31,80],"pairs":[33,84],"has":[34],"compelled":[35],"existing":[36],"methods":[37,46],"rely":[39],"primarily":[40],"on":[41,90,177],"synthetic":[42,58,178],"datasets.":[43,179],"However,":[44],"these":[45],"struggle":[47],"with":[48],"applications":[50],"inherent":[54],"domain":[55],"gap":[56],"between":[57],"real":[60],"data.":[61],"To":[62],"address":[63],"this,":[64,91],"we":[65,92],"introduce":[66],"Real-World":[67],"Hazy":[70],"Dataset":[72],"(RRSHID),":[73],"first":[75],"large-scale":[76],"dataset":[77,203],"featuring":[78],"hazy-free":[82],"across":[85],"diverse":[86],"conditions.":[88],"Based":[89],"propose":[93],"MCAF-Net,":[94],"a":[95],"novel":[96],"framework":[97],"tailored":[98],"for":[99,189,196],"RSID.":[101],"Its":[102],"effectiveness":[103],"arises":[104],"from":[105],"three":[106],"innovative":[107],"components:":[108],"Multi-branch":[109],"Feature":[110,146],"Integration":[111],"Block":[112],"Aggregator":[113],"(MFIBA),":[114],"which":[115,133,151],"enables":[116],"robust":[117],"feature":[118],"extraction":[119],"through":[120],"cascaded":[121],"integration":[122],"blocks":[123],"parallel":[125],"multi-branch":[126],"processing;":[127],"Color-Calibrated":[128],"Self-Supervised":[129],"Attention":[130],"Module":[131,149],"(CSAM),":[132],"mitigates":[134],"via":[138],"self-supervised":[139],"learning":[140],"attention-guided":[142],"refinement;":[143],"Multi-Scale":[145],"Adaptive":[147],"Fusion":[148],"(MFAFM),":[150],"integrates":[152],"features":[153],"effectively":[154],"while":[155,173],"preserving":[156],"local":[157],"details":[158],"global":[160],"context.":[161],"Extensive":[162],"experiments":[163],"validate":[164],"MCAF-Net":[166,185],"demonstrates":[167],"state-of-the-art":[168],"performance":[169,176],"RSID,":[172],"maintaining":[174],"competitive":[175],"introduction":[181],"RRSHID":[183],"sets":[186],"new":[187],"benchmarks":[188],"RSID":[191],"research,":[192],"advancing":[193],"practical":[194],"solutions":[195],"this":[197],"task.":[199],"code":[201],"are":[204],"publicly":[205],"available":[206],"at":[207],"here.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":5}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
