{"id":"https://openalex.org/W4407737102","doi":"https://doi.org/10.1109/tgrs.2025.3543728","title":"Spatial\u2013Frequency Residual-Guided Dynamic Perceptual Network for Remote Sensing Image Haze Removal","display_name":"Spatial\u2013Frequency Residual-Guided Dynamic Perceptual Network for Remote Sensing Image Haze Removal","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407737102","doi":"https://doi.org/10.1109/tgrs.2025.3543728"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3543728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3543728","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":["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/A5004093770","display_name":"Hang Sun","orcid":"https://orcid.org/0000-0002-3460-9354"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Sun","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446997","display_name":"Yao Zhang","orcid":"https://orcid.org/0000-0002-8759-4811"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoru Yao","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655825","display_name":"Jun Wan","orcid":"https://orcid.org/0000-0002-9961-7902"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wan","raw_affiliation_strings":["School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084699418","display_name":"Dong Ren","orcid":"https://orcid.org/0000-0002-0422-1017"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ren","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010446011","display_name":"Lyuyang Tong","orcid":"https://orcid.org/0000-0001-7148-3618"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lyuyang Tong","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004093770"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":null,"apc_paid":null,"fwci":3.2586,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91147372,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9890999794006348,"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":0.9890999794006348,"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":0.9829999804496765,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9799000024795532,"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/haze","display_name":"Haze","score":0.7669996023178101},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.694376528263092},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6841364502906799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.675582766532898},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5535107254981995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5115264654159546},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4176829159259796},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33867305517196655},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24138706922531128},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11200690269470215},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10972121357917786},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.09935212135314941}],"concepts":[{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.7669996023178101},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.694376528263092},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6841364502906799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675582766532898},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5535107254981995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5115264654159546},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4176829159259796},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33867305517196655},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24138706922531128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11200690269470215},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10972121357917786},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.09935212135314941}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3543728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3543728","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1788879660","display_name":null,"funder_award_id":"62002233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8990589862","display_name":null,"funder_award_id":"2024AFB992","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2097900287","https://openalex.org/W2113850718","https://openalex.org/W2122539469","https://openalex.org/W2133665775","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2519481857","https://openalex.org/W2562637781","https://openalex.org/W2779176852","https://openalex.org/W2922509574","https://openalex.org/W2962176524","https://openalex.org/W2963306157","https://openalex.org/W2963855133","https://openalex.org/W2998249728","https://openalex.org/W3012965216","https://openalex.org/W3029420096","https://openalex.org/W3107500387","https://openalex.org/W3176259969","https://openalex.org/W3195858154","https://openalex.org/W4225672218","https://openalex.org/W4255702593","https://openalex.org/W4285300412","https://openalex.org/W4296339248","https://openalex.org/W4312958254","https://openalex.org/W4327702802","https://openalex.org/W4380303497","https://openalex.org/W4381051150","https://openalex.org/W4382119971","https://openalex.org/W4385299503","https://openalex.org/W4386076209","https://openalex.org/W4387250673","https://openalex.org/W4387789877","https://openalex.org/W4388430459","https://openalex.org/W4388572326","https://openalex.org/W4389832050","https://openalex.org/W4390097207","https://openalex.org/W4390357172","https://openalex.org/W4390481190","https://openalex.org/W4390577884","https://openalex.org/W4390755701","https://openalex.org/W4390908076","https://openalex.org/W4391092744","https://openalex.org/W4391235287","https://openalex.org/W4391305862","https://openalex.org/W4391305878","https://openalex.org/W4392251738","https://openalex.org/W4392700124","https://openalex.org/W4392909618","https://openalex.org/W4392980146","https://openalex.org/W4393207076","https://openalex.org/W4394586015","https://openalex.org/W4394627552","https://openalex.org/W4394744750","https://openalex.org/W4395069610","https://openalex.org/W4398187596","https://openalex.org/W4399556218","https://openalex.org/W4400950140","https://openalex.org/W4401024127","https://openalex.org/W4401070625","https://openalex.org/W4401328456","https://openalex.org/W4402473936","https://openalex.org/W4402816933","https://openalex.org/W4402952381"],"related_works":["https://openalex.org/W2397673276","https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2388134306","https://openalex.org/W2371905190","https://openalex.org/W2369060955"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"neural":[2],"networks":[3],"have":[4],"been":[5],"extensively":[6],"explored":[7],"in":[8,49],"remote":[9,77],"sensing":[10,78],"image":[11,79],"haze":[12,21,80,131,172],"removal":[13,22,132,173],"and":[14,32,100,109,121,129],"achieved":[15],"remarkable":[16],"performance.":[17,133],"However,":[18],"most":[19],"existing":[20],"methods":[23],"fail":[24],"to":[25,60,114,144],"effectively":[26],"leverage":[27],"the":[28,44,54,155],"fusion":[29,118],"of":[30,119,157],"spatial":[31,120],"frequency":[33,102,122],"information,":[34,123],"which":[35,92],"is":[36,142,177],"crucial":[37],"for":[38,76],"learning":[39],"more":[40,116],"representative":[41],"features.":[42],"Moreover,":[43],"prevalent":[45],"perceptual":[46,57,73,139,152],"loss":[47,140],"used":[48],"dehazing":[50],"model":[51],"training":[52],"overlooks":[53],"diversity":[55],"among":[56],"channels,":[58,153],"leading":[59],"performance":[61],"degradation.":[62],"To":[63],"address":[64],"these":[65],"issues,":[66],"we":[67,83],"propose":[68,85],"a":[69,86,94,101,135],"spatial-frequency":[70,88,112],"residual-guided":[71,87],"dynamic":[72,136],"network":[74],"(SFRDP-Net)":[75],"removal.":[81],"Specifically,":[82],"first":[84],"interaction":[89],"(RSFI)":[90],"module,":[91],"incorporates":[93],"bidirectional":[95],"residual":[96,103],"complementary":[97],"mechanism":[98],"(BRCM)":[99],"enhanced":[104],"attention":[105],"(FREA).":[106],"Both":[107],"BRCM":[108],"FREA":[110],"exploit":[111],"complementarity":[113],"guide":[115],"effective":[117],"thus":[124],"enhancing":[125],"feature":[126],"representation":[127],"capability":[128],"improving":[130],"Furthermore,":[134],"channel":[137],"weighting":[138],"(DCWP-Loss)":[141],"developed":[143],"impose":[145],"constraints":[146],"with":[147],"varying":[148],"strengths":[149],"on":[150,162],"different":[151],"advancing":[154],"reconstruction":[156],"high-quality":[158],"haze-free":[159],"images.":[160],"Experiments":[161],"challenging":[163],"benchmark":[164],"datasets":[165],"demonstrate":[166],"our":[167],"SFRDP-Net":[168],"outperforms":[169],"several":[170],"state-of-the-art":[171],"methods.":[174],"The":[175],"code":[176],"released":[178],"publicly":[179],"at":[180],"<uri":[181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/789as-syl/SFRDP-Net</uri>.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
