{"id":"https://openalex.org/W7147238053","doi":"https://doi.org/10.1109/icvisp68610.2025.11451263","title":"Physics-Guided Adaptive Network for Remote Sensing Image Dehazing","display_name":"Physics-Guided Adaptive Network for Remote Sensing Image Dehazing","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147238053","doi":"https://doi.org/10.1109/icvisp68610.2025.11451263"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-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/A5132643083","display_name":"Yashu Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yashu Feng","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132609592","display_name":"Tao Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gao","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132686872","display_name":"Ting Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132685391","display_name":"Shan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Liang","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132725495","display_name":"Yuanbo Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Wen","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130027504","display_name":"Xiaolin Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Kong","raw_affiliation_strings":["Chang’an University,School of Information Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Chang’an University,School of Information Engineering,Xi’an,China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5132643083"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74907832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9265000224113464,"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":0.9265000224113464,"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":0.010900000110268593,"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":0.007899999618530273,"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/interpretability","display_name":"Interpretability","score":0.7620999813079834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6202999949455261},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5393000245094299},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48350000381469727},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.47620001435279846},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.4672999978065491},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.424699991941452},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7620999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131999731063843},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6840000152587891},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6202999949455261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450000166893005},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5393000245094299},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48350000381469727},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.47620001435279846},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.4672999978065491},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4171999990940094},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C196875640","wikidata":"https://www.wikidata.org/wiki/Q249023","display_name":"Diffuse sky radiation","level":3,"score":0.2948000133037567},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.25780001282691956},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":28,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2028990532","https://openalex.org/W2065002911","https://openalex.org/W2105536892","https://openalex.org/W2113850718","https://openalex.org/W2121880036","https://openalex.org/W2162480849","https://openalex.org/W2256362396","https://openalex.org/W2412588858","https://openalex.org/W2467473805","https://openalex.org/W2552162070","https://openalex.org/W2779176852","https://openalex.org/W2940726923","https://openalex.org/W2963306157","https://openalex.org/W2990007814","https://openalex.org/W2998249728","https://openalex.org/W3159885298","https://openalex.org/W4229083820","https://openalex.org/W4312812783","https://openalex.org/W4323644291","https://openalex.org/W4327808545","https://openalex.org/W4387789877","https://openalex.org/W4392910570","https://openalex.org/W4403147069","https://openalex.org/W4406857481","https://openalex.org/W4409366430","https://openalex.org/W4411055334","https://openalex.org/W4411799287"],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1,20,75],"image":[2,76,150],"dehazing":[3],"is":[4],"an":[5],"essential":[6],"computational":[7],"imaging":[8],"task":[9],"that":[10,119,140],"aims":[11],"to":[12,33,96],"recover":[13],"clear":[14],"ground":[15],"information":[16],"from":[17,52],"haze-contaminated":[18],"remote":[19,74],"data.":[21],"In":[22],"recent":[23],"years,":[24],"deep":[25],"learning-based":[26],"methods":[27,146],"have":[28],"achieved":[29],"remarkable":[30],"progress":[31],"due":[32],"their":[34,58],"powerful":[35],"capabilities.":[36],"However,":[37],"most":[38],"existing":[39,144],"approaches":[40],"rely":[41],"solely":[42],"on":[43,135],"data-driven":[44],"learning":[45],"and":[46,60,112,154],"lack":[47],"explicit":[48],"physical":[49,126,155],"constraints":[50],"derived":[51],"the":[53,92,136],"atmospheric":[54,93],"scattering":[55,94],"model,":[56],"limiting":[57],"interpretability":[59],"generalization.":[61],"To":[62],"address":[63],"this":[64],"issue,":[65],"we":[66],"propose":[67],"a":[68,85,100,113,125],"Physics-Guided":[69,114],"Adaptive":[70,102],"Network":[71],"(PGA-Net)":[72],"for":[73,90,106],"dehazing.":[77],"The":[78],"proposed":[79],"network":[80],"incorporates":[81],"three":[82],"key":[83],"components:":[84],"Physical":[86],"Modeling":[87],"Unit":[88],"(PMU)":[89],"embedding":[91],"model":[95],"guide":[97],"feature":[98,122],"extraction,":[99],"Spatially":[101],"Convolution":[103],"(SAC)":[104],"module":[105,118],"capturing":[107],"multi-scale":[108],"local":[109],"structures":[110],"adaptively,":[111],"Feature":[115],"Fusion":[116],"(PGFF)":[117],"promotes":[120],"intra-stage":[121],"interaction":[123],"through":[124],"inversion":[127],"mechanism":[128],"while":[129],"suppressing":[130],"task-irrelevant":[131],"information.":[132],"Experimental":[133],"results":[134],"RSHaze":[137],"dataset":[138],"demonstrate":[139],"PGA-Net":[141],"significantly":[142],"outperforms":[143],"state-of-the-art":[145],"in":[147],"terms":[148],"of":[149],"clarity,":[151],"color":[152],"fidelity,":[153],"consistency.":[156]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}