{"id":"https://openalex.org/W4409225836","doi":"https://doi.org/10.1109/tgrs.2025.3558472","title":"Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation","display_name":"Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409225836","doi":"https://doi.org/10.1109/tgrs.2025.3558472"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3558472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3558472","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/A5046668357","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1825-328X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Gao","raw_affiliation_strings":["School of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102217681","display_name":"Miao Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Fu","raw_affiliation_strings":["School of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082088474","display_name":"Jingchao Cao","orcid":"https://orcid.org/0000-0002-8944-8033"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchao Cao","raw_affiliation_strings":["School of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["School of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046668357"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":24.3398,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9980556,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8621000051498413,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8621000051498413,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8537999987602234,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.7843999862670898,"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/computer-science","display_name":"Computer science","score":0.7130190134048462},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5954546332359314},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5664609670639038},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5200976133346558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49031952023506165},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47891128063201904},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17519411444664001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130190134048462},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5954546332359314},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5664609670639038},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5200976133346558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49031952023506165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47891128063201904},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17519411444664001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3558472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3558472","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":[],"awards":[{"id":"https://openalex.org/G2077454190","display_name":null,"funder_award_id":"2022ZD0117202","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G5085511882","display_name":null,"funder_award_id":"23-2-1-222-ZYYD-JCH","funder_id":"https://openalex.org/F4320328636","funder_display_name":"Natural Science Foundation of Qingdao"},{"id":"https://openalex.org/G7593215403","display_name":null,"funder_award_id":"ZR2024MF020","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320328636","display_name":"Natural Science Foundation of Qingdao","ror":null},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2002281921","https://openalex.org/W2412782625","https://openalex.org/W2527276685","https://openalex.org/W2787091153","https://openalex.org/W2886397424","https://openalex.org/W2963881378","https://openalex.org/W3007268491","https://openalex.org/W3012528238","https://openalex.org/W3017971322","https://openalex.org/W3035294798","https://openalex.org/W3109998321","https://openalex.org/W3137572916","https://openalex.org/W3138516171","https://openalex.org/W3154461244","https://openalex.org/W3161825146","https://openalex.org/W3163722788","https://openalex.org/W3187493547","https://openalex.org/W3190334976","https://openalex.org/W3194371117","https://openalex.org/W3200075728","https://openalex.org/W3206809412","https://openalex.org/W4205138939","https://openalex.org/W4214532801","https://openalex.org/W4214893857","https://openalex.org/W4225672218","https://openalex.org/W4283450732","https://openalex.org/W4285171099","https://openalex.org/W4312232501","https://openalex.org/W4312785900","https://openalex.org/W4312838185","https://openalex.org/W4318149001","https://openalex.org/W4322576444","https://openalex.org/W4385976148","https://openalex.org/W4386634500","https://openalex.org/W4387922488","https://openalex.org/W4388543795","https://openalex.org/W4390873471","https://openalex.org/W4391406979","https://openalex.org/W4392187956","https://openalex.org/W4392543906","https://openalex.org/W4399168725","https://openalex.org/W4399525872","https://openalex.org/W4399939447","https://openalex.org/W4399939468","https://openalex.org/W4400448320","https://openalex.org/W4400579361","https://openalex.org/W4400727268","https://openalex.org/W4400877298","https://openalex.org/W4401163111","https://openalex.org/W4401507834","https://openalex.org/W4401879130","https://openalex.org/W4401879872","https://openalex.org/W4402125061","https://openalex.org/W4403211028","https://openalex.org/W4403294835","https://openalex.org/W4405845035","https://openalex.org/W4406610749","https://openalex.org/W4406857584","https://openalex.org/W6684191040","https://openalex.org/W6784227514","https://openalex.org/W6797399245","https://openalex.org/W6799579066","https://openalex.org/W6842806116"],"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":{"Semantic":[0],"segmentation":[1,30],"of":[2,103,179],"high-resolution":[3],"remote":[4],"sensing":[5],"images":[6],"plays":[7],"a":[8],"crucial":[9],"role":[10],"in":[11,20,38,183],"land-use":[12],"monitoring":[13],"and":[14,47,53,77,83,93,96,115,122,136,151,181,189],"urban":[15],"planning.":[16],"Recent":[17],"remarkable":[18],"progress":[19],"deep":[21],"learning-based":[22],"methods":[23,34],"makes":[24],"it":[25],"possible":[26],"to":[27,42,100,112,140],"generate":[28],"satisfactory":[29],"results.":[31],"However,":[32],"existing":[33],"still":[35],"face":[36],"challenges":[37],"adapting":[39],"network":[40],"parameters":[41],"various":[43],"land":[44,186],"cover":[45,187],"distributions":[46],"enhancing":[48],"the":[49,63,74,84,101,104,142,147,166,177],"interaction":[50],"between":[51,149],"spatial":[52,152],"frequency":[54,150],"domain":[55],"features.":[56],"To":[57],"address":[58],"these":[59],"challenges,":[60],"we":[61,174],"propose":[62],"Adaptive":[64,75],"Frequency":[65,76],"Enhancement":[66],"Network":[67],"(AFENet),":[68],"which":[69],"integrates":[70],"two":[71,110],"key":[72],"components:":[73],"Spatial":[78],"feature":[79,86,129],"Interaction":[80],"Module":[81,88],"(AFSIM)":[82],"Selective":[85],"Fusion":[87],"(SFM).":[89],"AFSIM":[90,180],"dynamically":[91],"separates":[92],"modulates":[94],"high-":[95,114],"low-frequency":[97,116],"features":[98,139,153],"according":[99],"content":[102],"input":[105],"image.":[106],"It":[107],"adaptively":[108],"generates":[109],"masks":[111],"separate":[113],"components,":[117],"therefore":[118],"providing":[119],"optimal":[120],"details":[121],"contextual":[123],"supplementary":[124],"information":[125],"for":[126],"ground":[127],"object":[128],"representation.":[130],"SFM":[131,182],"selectively":[132],"fuses":[133],"global":[134],"context":[135],"local":[137],"detailed":[138],"enhance":[141],"network\u2019s":[143],"representation":[144],"capability.":[145],"Hence,":[146],"interactions":[148],"are":[154,194],"further":[155],"enhanced.":[156],"Extensive":[157],"experiments":[158],"on":[159],"three":[160],"publicly":[161],"available":[162,195],"datasets":[163],"demonstrate":[164],"that":[165],"proposed":[167],"AFENet":[168],"outperforms":[169],"state-of-the-art":[170],"methods.":[171],"In":[172],"addition,":[173],"also":[175],"validate":[176],"effectiveness":[178],"managing":[184],"diverse":[185],"types":[188],"complex":[190],"scenarios.":[191],"Our":[192],"codes":[193],"at":[196],"https://github.com/oucailab/AFENet.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}