{"id":"https://openalex.org/W4389615030","doi":"https://doi.org/10.3390/rs15245704","title":"SDAT-Former++: A Foggy Scene Semantic Segmentation Method with Stronger Domain Adaption Teacher for Remote Sensing Images","display_name":"SDAT-Former++: A Foggy Scene Semantic Segmentation Method with Stronger Domain Adaption Teacher for Remote Sensing Images","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389615030","doi":"https://doi.org/10.3390/rs15245704"},"language":"en","primary_location":{"id":"doi:10.3390/rs15245704","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15245704","pdf_url":"https://www.mdpi.com/2072-4292/15/24/5704/pdf?version=1702388267","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/24/5704/pdf?version=1702388267","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101949989","display_name":"Ziquan Wang","orcid":"https://orcid.org/0000-0002-3153-5417"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziquan Wang","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374669","display_name":"Yongsheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Zhang","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059339041","display_name":"Zhenchao Zhang","orcid":"https://orcid.org/0000-0002-2405-2038"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenchao Zhang","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002521276","display_name":"Zhipeng Jiang","orcid":"https://orcid.org/0000-0001-8459-080X"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Jiang","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451632","display_name":"Ying Yu","orcid":"https://orcid.org/0000-0001-7840-9891"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yu","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107114898","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-9392-7862"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China"],"affiliations":[{"raw_affiliation_string":"School of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5059339041"],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3554,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61159246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"24","first_page":"5704","last_page":"5704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.8818371891975403},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6523707509040833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5671855211257935},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.46576547622680664},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4623488187789917},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4390040934085846},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.42529425024986267},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41221240162849426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35700011253356934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3354514241218567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8818371891975403},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6523707509040833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5671855211257935},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.46576547622680664},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4623488187789917},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4390040934085846},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.42529425024986267},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41221240162849426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35700011253356934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3354514241218567},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15245704","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15245704","pdf_url":"https://www.mdpi.com/2072-4292/15/24/5704/pdf?version=1702388267","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4c5f703ab847475887184b1c524aa89a","is_oa":true,"landing_page_url":"https://doaj.org/article/4c5f703ab847475887184b1c524aa89a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 24, p 5704 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15245704","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15245704","pdf_url":"https://www.mdpi.com/2072-4292/15/24/5704/pdf?version=1702388267","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1452172099","display_name":null,"funder_award_id":"42071340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8159262579","display_name":null,"funder_award_id":"2211000211000-01","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389615030.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2097900287","https://openalex.org/W2108598243","https://openalex.org/W2339186457","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2563705555","https://openalex.org/W2593414223","https://openalex.org/W2748021867","https://openalex.org/W2767657961","https://openalex.org/W2887964057","https://openalex.org/W2932414082","https://openalex.org/W2952735550","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963306157","https://openalex.org/W2963943912","https://openalex.org/W2964309882","https://openalex.org/W2970971581","https://openalex.org/W2972285644","https://openalex.org/W3012120793","https://openalex.org/W3035294798","https://openalex.org/W3096831136","https://openalex.org/W3120562181","https://openalex.org/W3120804725","https://openalex.org/W3121281282","https://openalex.org/W3130455691","https://openalex.org/W3158147101","https://openalex.org/W3175294391","https://openalex.org/W3211490618","https://openalex.org/W3217147624","https://openalex.org/W4292313930","https://openalex.org/W4292553515","https://openalex.org/W4312368691","https://openalex.org/W4312868071","https://openalex.org/W4313156423","https://openalex.org/W4313192952","https://openalex.org/W4317549583","https://openalex.org/W4319301015","https://openalex.org/W4320018395","https://openalex.org/W4363678455","https://openalex.org/W4377137472","https://openalex.org/W4378588739","https://openalex.org/W4385804906","https://openalex.org/W4386047746","https://openalex.org/W4386075540","https://openalex.org/W4386598291","https://openalex.org/W6647720530","https://openalex.org/W6767385287","https://openalex.org/W6797399245","https://openalex.org/W6847611155","https://openalex.org/W6849725013","https://openalex.org/W6850084082"],"related_works":["https://openalex.org/W2756978580","https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4315434538","https://openalex.org/W4375928479","https://openalex.org/W3131673289"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,199],"based":[2],"on":[3,194,215],"optical":[4],"images":[5,66],"can":[6,35],"provide":[7],"comprehensive":[8],"scene":[9,18],"information":[10],"for":[11,94,115,197],"intelligent":[12],"vehicle":[13],"systems,":[14],"thus":[15],"aiding":[16],"in":[17,48,159,184,200],"perception":[19],"and":[20,61,83,102,157,208,220],"decision":[21],"making.":[22],"However,":[23],"under":[24],"adverse":[25],"weather":[26],"conditions":[27],"(such":[28],"as":[29],"fog),":[30],"the":[31,43,72,76,87,96,124,135,142,147,155,160,181,185,213,216,227],"performance":[32,125],"of":[33,45,75,126,137,149,205],"methods":[34],"be":[36],"compromised":[37],"due":[38],"to":[39,56,65,90,121,134,145,153,226],"incomplete":[40],"observations.":[41],"Considering":[42],"success":[44],"domain":[46],"adaptation":[47],"recent":[49],"years,":[50],"we":[51,70,100,110,130,163,179],"believe":[52],"it":[53],"is":[54],"reasonable":[55],"transfer":[57,183],"knowledge":[58,85,182],"from":[59,117],"clear":[60],"existing":[62],"annotated":[63],"datasets":[64],"with":[67],"fog.":[68],"Technically,":[69],"follow":[71],"main":[73],"workflow":[74],"previous":[77],"SDAT-Former":[78],"method,":[79],"which":[80],"incorporates":[81],"fog":[82],"style-factor":[84],"into":[86,172],"teacher":[88],"segmentor":[89],"generate":[91],"better":[92,122],"pseudo-labels":[93],"guiding":[95],"student":[97],"segmentor,":[98],"but":[99,167],"identify":[101],"address":[103,154],"some":[104],"issues,":[105],"achieving":[106],"significant":[107],"improvements.":[108],"Firstly,":[109],"introduce":[111],"a":[112,165,173],"consistency":[113],"loss":[114],"learning":[116,170],"multiple":[118],"source":[119],"data":[120],"converge":[123],"each":[127],"component.":[128],"Secondly,":[129],"apply":[131],"positional":[132],"encoding":[133],"features":[136],"fog-invariant":[138],"adversarial":[139],"learning,":[140],"strengthening":[141],"model\u2019s":[143],"ability":[144],"handle":[146],"details":[148],"foggy":[150,201],"entities.":[151],"Furthermore,":[152],"complexity":[156],"noise":[158],"original":[161,186,228],"version,":[162],"integrate":[164],"simple":[166],"effective":[168],"masked":[169],"technique":[171],"unified,":[174],"end-to-end":[175],"training":[176],"process.":[177],"Finally,":[178],"regularize":[180],"method":[187],"through":[188],"re-weighting.":[189],"We":[190],"tested":[191],"our":[192],"SDAT-Former++":[193],"mainstream":[195],"benchmarks":[196],"semantic":[198],"scenes,":[202],"demonstrating":[203],"improvements":[204],"3.3%,":[206],"4.8%,":[207],"1.1%":[209],"(as":[210],"measured":[211],"by":[212],"mIoU)":[214],"ACDC,":[217],"Foggy":[218,221],"Zurich,":[219],"Driving":[222],"datasets,":[223],"respectively,":[224],"compared":[225],"version.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}