{"id":"https://openalex.org/W4320005441","doi":"https://doi.org/10.1109/tgrs.2023.3243042","title":"Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory","display_name":"Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320005441","doi":"https://doi.org/10.1109/tgrs.2023.3243042"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3243042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3243042","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/A5053144276","display_name":"Jingru Zhu","orcid":"https://orcid.org/0000-0002-9755-0855"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingru Zhu","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021717988","display_name":"Ya Guo","orcid":"https://orcid.org/0000-0002-9317-2471"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Guo","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023167307","display_name":"Geng Sun","orcid":"https://orcid.org/0000-0001-6713-5151"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Sun","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296217","display_name":"Libo Yang","orcid":"https://orcid.org/0009-0001-5160-6155"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo Yang","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063396826","display_name":"Min Deng","orcid":"https://orcid.org/0000-0002-1952-4184"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Deng","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084932231","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-3864-9265"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Geosciences and Info-Physics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Geosciences and Info-Physics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053144276"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":13.4251,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99187411,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"18"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9947999715805054,"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":0.9731000065803528,"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":0.8084578514099121},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6446546912193298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6439179182052612},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5923161506652832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5255436301231384},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4485015273094177},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44645559787750244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4199432134628296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32228267192840576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07995197176933289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084578514099121},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6446546912193298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6439179182052612},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5923161506652832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5255436301231384},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4485015273094177},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44645559787750244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4199432134628296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32228267192840576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07995197176933289},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3243042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3243042","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/G1887807970","display_name":null,"funder_award_id":"2020YFA0713503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8519497944","display_name":null,"funder_award_id":"42071427","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2098676252","https://openalex.org/W2102673432","https://openalex.org/W2108598243","https://openalex.org/W2141581971","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2562192638","https://openalex.org/W2592583011","https://openalex.org/W2592962403","https://openalex.org/W2607579284","https://openalex.org/W2664380602","https://openalex.org/W2724081917","https://openalex.org/W2798991696","https://openalex.org/W2917187459","https://openalex.org/W2925311845","https://openalex.org/W2962687275","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963120918","https://openalex.org/W2963217615","https://openalex.org/W2963865469","https://openalex.org/W2963881378","https://openalex.org/W2969393175","https://openalex.org/W2969893028","https://openalex.org/W2972285644","https://openalex.org/W2990205821","https://openalex.org/W2992240579","https://openalex.org/W3008156909","https://openalex.org/W3017075957","https://openalex.org/W3034467781","https://openalex.org/W3035524453","https://openalex.org/W3047269846","https://openalex.org/W3108560336","https://openalex.org/W3154766321","https://openalex.org/W3157653192","https://openalex.org/W3157967435","https://openalex.org/W3163799992","https://openalex.org/W3195135988","https://openalex.org/W3195858154","https://openalex.org/W3196212409","https://openalex.org/W4205379033","https://openalex.org/W4285512371","https://openalex.org/W4312459164","https://openalex.org/W6631190155","https://openalex.org/W6730623217","https://openalex.org/W6734335776","https://openalex.org/W6746282794","https://openalex.org/W6795306211"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,40,81,94,100],"is":[2,168,194,220,229],"a":[3,53,88,171],"key":[4],"technique":[5],"involved":[6],"in":[7,21],"automatic":[8],"interpretation":[9],"of":[10,56,68,76,82,101,131,162,205],"high-resolution":[11],"remote":[12,23],"sensing":[13,24],"(HRS)":[14],"imagery":[15,38],"and":[16,62,122,126],"has":[17],"drawn":[18],"much":[19],"attention":[20],"the":[22,36,49,63,66,73,79,98,114,119,123,129,149,159,186,198,224],"community.":[25],"Deep":[26],"convolutional":[27],"neural":[28],"networks":[29],"(DCNNs)":[30],"have":[31],"been":[32],"successfully":[33],"applied":[34],"to":[35,43,65,112,127,142,157,179,196,223],"HRS":[37,83,102],"semantic":[39,80,93,99],"task":[41],"due":[42],"their":[44],"hierarchical":[45],"representation":[46],"ability.":[47],"However,":[48],"heavy":[50],"dependence":[51],"on":[52],"large":[54],"number":[55],"training":[57],"data":[58,69],"with":[59,201],"dense":[60],"annotation":[61],"sensitiveness":[64],"variation":[67],"distribution":[70,116],"severely":[71],"restrict":[72],"potential":[74],"application":[75],"DCNNs":[77],"for":[78,97,183],"imagery.":[84,103],"This":[85,166],"study":[86],"proposes":[87],"novel":[89],"unsupervised":[90],"domain":[91,115,121,125,132],"adaptation":[92],"network":[95],"(MemoryAdaptNet)":[96],"MemoryAdaptNet":[104,219],"constructs":[105],"an":[106,137],"output":[107],"space":[108],"adversarial":[109,153],"learning":[110,154],"scheme":[111],"bridge":[113],"discrepancy":[117],"between":[118],"source":[120],"target":[124,207],"narrow":[128],"influence":[130],"shift.":[133],"Specifically,":[134],"we":[135],"embed":[136],"invariant":[138,144,174],"feature":[139,161,182,204],"memory":[140,176,199],"module":[141,167,178,200],"store":[143],"domain-level":[145,175],"prototype":[146],"information":[147],"because":[148],"features":[150],"obtained":[151],"from":[152],"only":[155],"tend":[156],"represent":[158],"variant":[160],"current":[163,180,206],"limited":[164],"inputs.":[165],"integrated":[169],"by":[170],"category":[172],"attention-driven":[173],"aggregation":[177],"pseudo-invariant":[181,203],"further":[184],"augmenting":[185],"representations.":[187],"An":[188],"entropy-based":[189],"pseudo":[190],"label":[191],"filtering":[192],"strategy":[193],"used":[195],"update":[197],"high-confident":[202],"images.":[208],"Extensive":[209],"experiments":[210],"under":[211],"three":[212],"cross-domain":[213],"tasks":[214],"indicate":[215],"that":[216],"our":[217],"proposed":[218],"remarkably":[221],"superior":[222],"state-of-the-art":[225],"methods.":[226],"Our":[227],"code":[228],"available":[230],"at":[231],"<uri":[232],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[233],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/RS-CSU/MemoryAdaptNet-master</uri>":[234],".":[235]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}