{"id":"https://openalex.org/W4402259739","doi":"https://doi.org/10.1109/tgrs.2024.3443071","title":"Uncertain Example Mining Network for Domain Adaptive Segmentation of Remote Sensing Images","display_name":"Uncertain Example Mining Network for Domain Adaptive Segmentation of Remote Sensing Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402259739","doi":"https://doi.org/10.1109/tgrs.2024.3443071"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3443071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3443071","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/A5100390551","display_name":"Wang Liu","orcid":"https://orcid.org/0000-0002-0378-7625"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0378-7625","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5066-4399","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078886858","display_name":"Zhuojun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuojun Xie","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0005-2087-5167","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":3.612,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93736044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996399998664856,"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":0.9962000250816345,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9921000003814697,"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":0.6726524233818054},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5709068179130554},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5677938461303711},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5433223843574524},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5039827227592468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47225016355514526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43793267011642456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35806894302368164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33799582719802856},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26416775584220886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09559428691864014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726524233818054},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5709068179130554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5677938461303711},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5433223843574524},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5039827227592468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47225016355514526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43793267011642456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35806894302368164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33799582719802856},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26416775584220886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09559428691864014},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3443071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3443071","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/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4616921730","display_name":null,"funder_award_id":"2023JJ40163","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5190441035","display_name":null,"funder_award_id":"2021YFA0715203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5921931442","display_name":null,"funder_award_id":"62371185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8759851568","display_name":null,"funder_award_id":"62201207","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"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1994550352","https://openalex.org/W2104094955","https://openalex.org/W2157550316","https://openalex.org/W2403681572","https://openalex.org/W2573546209","https://openalex.org/W2577784528","https://openalex.org/W2895281799","https://openalex.org/W2962687275","https://openalex.org/W2963107255","https://openalex.org/W2963113370","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2964288524","https://openalex.org/W2969893028","https://openalex.org/W2981624307","https://openalex.org/W2981873476","https://openalex.org/W2990019157","https://openalex.org/W2992308087","https://openalex.org/W3009297390","https://openalex.org/W3020349519","https://openalex.org/W3042609801","https://openalex.org/W3046533531","https://openalex.org/W3108560336","https://openalex.org/W3108566666","https://openalex.org/W3119635706","https://openalex.org/W3120789720","https://openalex.org/W3120804725","https://openalex.org/W3175294391","https://openalex.org/W3203482237","https://openalex.org/W3217147624","https://openalex.org/W4200634627","https://openalex.org/W4205379033","https://openalex.org/W4225812213","https://openalex.org/W4285207910","https://openalex.org/W4285228384","https://openalex.org/W4292982640","https://openalex.org/W4312251571","https://openalex.org/W4312257162","https://openalex.org/W4312459164","https://openalex.org/W4366377585","https://openalex.org/W4380872971","https://openalex.org/W4390577906","https://openalex.org/W6683633756","https://openalex.org/W6733814495","https://openalex.org/W6751420435","https://openalex.org/W6767486985","https://openalex.org/W6788329692","https://openalex.org/W6799579066","https://openalex.org/W6805215067"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W4379231730","https://openalex.org/W1987967678","https://openalex.org/W4389858081","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2085738998","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Domain":[0],"adaptive":[1,51,137],"segmentation":[2,52,141],"has":[3],"recently":[4],"gained":[5],"more":[6,8,81],"and":[7,75,121],"attention":[9],"in":[10,29,72,135],"the":[11,30,70,88,126],"remote":[12,54,138],"sensing":[13,55,139],"field.":[14],"However,":[15],"current":[16],"methods":[17],"often":[18],"generate":[19],"a":[20,58,93],"significant":[21,111],"number":[22],"of":[23,53],"uncertain":[24,43],"examples,":[25],"i.e.,":[26],"noisy":[27],"pseudo-labels,":[28],"target":[31],"domain,":[32],"which":[33],"adversely":[34],"affects":[35],"model":[36],"convergence.":[37],"To":[38],"solve":[39],"this":[40,79],"issue,":[41],"an":[42],"example":[44,95,101],"mining":[45,96,102],"network":[46],"is":[47,66,104],"proposed":[48,67,105,127],"for":[49,87,113],"domain":[50,136],"images.":[56],"Specifically,":[57],"novel":[59],"strategy":[60],"called":[61],"multilevel":[62],"pseudo-label":[63],"correcting":[64],"(MPC)":[65],"to":[68,106],"correct":[69],"pseudo-labels":[71,83],"class,":[73],"pixel,":[74],"superpixel":[76],"levels.":[77],"In":[78],"way,":[80],"reliable":[82],"can":[84],"be":[85,146],"selected":[86],"subsequent":[89],"training":[90,114],"stage.":[91],"Furthermore,":[92],"noise-robust":[94],"strategy,":[97],"termed":[98],"uncertainty-based":[99],"valuable":[100],"(UVEM),":[103],"prioritize":[107],"confident":[108],"examples":[109],"with":[110],"gradients":[112],"effectively.":[115],"Extensive":[116],"empirical":[117],"evaluations":[118],"on":[119],"IsprsDA":[120],"LoveDA":[122],"datasets":[123],"demonstrate":[124],"that":[125],"method":[128],"outperforms":[129],"previous":[130],"approaches,":[131],"establishing":[132],"state-of-the-art":[133],"results":[134],"image":[140],"(RSIS).":[142],"The":[143],"code":[144],"will":[145],"available":[147],"at":[148],"<uri":[149],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/StuLiu/UemDA</uri>.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
