{"id":"https://openalex.org/W3207094529","doi":"https://doi.org/10.1109/igarss47720.2021.9554425","title":"MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection","display_name":"MRTA: Multi-Resolution Training Algorithm for Multitemporal Semantic Change Detection","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207094529","doi":"https://doi.org/10.1109/igarss47720.2021.9554425","mag":"3207094529"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-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/A5083821638","display_name":"Qianyue Bao","orcid":"https://orcid.org/0000-0002-6025-3881"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianyue Bao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355950","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-6276-1468"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083233746","display_name":"Zixiao Zhang","orcid":"https://orcid.org/0000-0001-7404-4573"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiao Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004185546","display_name":"Dafan Chen","orcid":"https://orcid.org/0000-0002-1100-9698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dafan Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065661879","display_name":"Yuting Yang","orcid":"https://orcid.org/0000-0002-6720-4134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Joint International Research Laboratory of Intelligent Perception and Computation, International Research Center for Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083821638"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69413897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"40","issue":null,"first_page":"2062","last_page":"2065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8461464047431946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8140323162078857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200627684593201},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.5294380187988281},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5109393000602722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47428542375564575},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4486052989959717},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4478680193424225},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4259927570819855},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4226444959640503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4165344834327698},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4105467200279236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36368024349212646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3327549695968628},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31618884205818176}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8461464047431946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8140323162078857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200627684593201},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.5294380187988281},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5109393000602722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47428542375564575},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4486052989959717},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4478680193424225},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4259927570819855},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4226444959640503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4165344834327698},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4105467200279236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36368024349212646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3327549695968628},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31618884205818176},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2735039185","https://openalex.org/W2799124825","https://openalex.org/W2804488433","https://openalex.org/W2895281799","https://openalex.org/W2896983355","https://openalex.org/W2980189057","https://openalex.org/W2997225633","https://openalex.org/W3042611018","https://openalex.org/W3105636206","https://openalex.org/W3118629228","https://openalex.org/W3119588043","https://openalex.org/W3134969701","https://openalex.org/W6639824700","https://openalex.org/W6751733626","https://openalex.org/W6755287564","https://openalex.org/W6780353226","https://openalex.org/W6784265214","https://openalex.org/W6788651250"],"related_works":["https://openalex.org/W3208882810","https://openalex.org/W2972862903","https://openalex.org/W3099765033","https://openalex.org/W2921259037","https://openalex.org/W2970699417","https://openalex.org/W4288419306","https://openalex.org/W4312531262","https://openalex.org/W4388103534","https://openalex.org/W2987302549","https://openalex.org/W4318142952"],"abstract_inverted_index":{"The":[0],"multitemporal":[1],"semantic":[2],"change":[3],"detection":[4],"challenge":[5],"track":[6],"(Track":[7],"MSD)":[8],"in":[9,156],"the":[10,18,23,48,51,54,65,98,110,114,126,151,160],"2021":[11],"Data":[12,162],"Fusion":[13,163],"Contest":[14,164],"is":[15,37],"to":[16,30,46,62,82,140],"extract":[17],"land":[19],"cover":[20],"changes":[21],"of":[22,26,50,103,113,159,165],"US":[24],"state":[25],"Maryland":[27],"from":[28],"2013":[29],"2017,":[31],"but":[32],"only":[33],"low-resolution":[34,59],"label":[35,86],"data":[36],"provided.":[38],"We":[39,129],"present":[40],"a":[41,84,120],"multi-resolution":[42,85],"training":[43,139],"algorithm":[44],"(MRTA)":[45],"alleviate":[47],"overfitting":[49],"model":[52,135,142],"on":[53,150],"coarse":[55,60,80],"labels.":[56],"First,":[57],"using":[58,73],"labels":[61,81],"train":[63],"FCN,":[64],"average":[66],"IoU":[67],"can":[68],"reach":[69],"0.5253.":[70],"Generating":[71],"pseudo-labels":[72],"this":[74],"network,":[75],"they":[76],"are":[77],"combined":[78],"with":[79],"form":[83],"combination,":[87],"and":[88,92,100,137],"perform":[89],"iterative":[90],"fine-tuning":[91],"retrain.":[93],"After":[94],"that,":[95],"by":[96],"analyzing":[97],"loss":[99],"gain":[101],"indicators":[102],"specific":[104],"categories,":[105],"it":[106],"was":[107,117,123],"found":[108],"that":[109],"discrimination":[111],"effect":[112],"water":[115,127],"area":[116],"poor,":[118],"so":[119],"strong":[121],"classifier":[122],"trained":[124],"for":[125],"area.":[128],"also":[130],"implemented":[131],"strategies":[132],"such":[133],"as":[134],"voting":[136],"weighted":[138],"improve":[141],"performance.":[143],"Finally,":[144],"our":[145],"method":[146],"achieves":[147],"0.6445":[148],"mIoU":[149],"test":[152],"set,":[153],"ranking":[154],"3rd":[155],"Track":[157],"2":[158],"IEEE":[161],"2021.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
