{"id":"https://openalex.org/W4380789068","doi":"https://doi.org/10.3390/rs15123121","title":"MSAFNet: Multiscale Successive Attention Fusion Network for Water Body Extraction of Remote Sensing Images","display_name":"MSAFNet: Multiscale Successive Attention Fusion Network for Water Body Extraction of Remote Sensing Images","publication_year":2023,"publication_date":"2023-06-15","ids":{"openalex":"https://openalex.org/W4380789068","doi":"https://doi.org/10.3390/rs15123121"},"language":"en","primary_location":{"id":"doi:10.3390/rs15123121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123121","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3121/pdf?version=1686793821","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/2072-4292/15/12/3121/pdf?version=1686793821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071995587","display_name":"Xin Lyu","orcid":"https://orcid.org/0000-0003-1862-2070"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lyu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083115565","display_name":"Wenxuan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Jiang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060642323","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-0576-3181"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053687089","display_name":"Yiwei Fang","orcid":"https://orcid.org/0000-0002-1334-7092"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Fang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001865876","display_name":"Zhennan Xu","orcid":"https://orcid.org/0000-0002-0702-0325"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhennan Xu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100634222","display_name":"Xinyuan Wang","orcid":"https://orcid.org/0009-0007-5086-2310"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Wang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060642323"],"corresponding_institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.6787,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89917614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"12","first_page":"3121","last_page":"3121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12543","display_name":"Groundwater and Watershed Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.823375940322876},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.636762797832489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5967572331428528},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.581321656703949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5342309474945068},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3281922936439514},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10322099924087524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.823375940322876},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.636762797832489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5967572331428528},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.581321656703949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5342309474945068},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3281922936439514},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10322099924087524}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15123121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123121","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3121/pdf?version=1686793821","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:4d000f0d38f84c1b85ca0ad1fc0fe6ff","is_oa":true,"landing_page_url":"https://doaj.org/article/4d000f0d38f84c1b85ca0ad1fc0fe6ff","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 12, p 3121 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/12/3121/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15123121","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 12; Pages: 3121","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15123121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15123121","pdf_url":"https://www.mdpi.com/2072-4292/15/12/3121/pdf?version=1686793821","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":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1604899545","display_name":null,"funder_award_id":"B230201007","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2123497280","display_name":null,"funder_award_id":"202106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2489486466","display_name":null,"funder_award_id":"210134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2597775472","display_name":null,"funder_award_id":"21013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3455073867","display_name":null,"funder_award_id":"42101343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5762773393","display_name":null,"funder_award_id":"202108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6518329074","display_name":null,"funder_award_id":"200449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6802443724","display_name":null,"funder_award_id":"2021063","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7558124665","display_name":null,"funder_award_id":"42104033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8014003051","display_name":null,"funder_award_id":"82004498","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380789068.pdf"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1901129140","https://openalex.org/W1995581599","https://openalex.org/W2009235968","https://openalex.org/W2017226600","https://openalex.org/W2276327097","https://openalex.org/W2395611524","https://openalex.org/W2412588858","https://openalex.org/W2560023338","https://openalex.org/W2749751926","https://openalex.org/W2751181894","https://openalex.org/W2752782242","https://openalex.org/W2793116851","https://openalex.org/W2802942478","https://openalex.org/W2807956304","https://openalex.org/W2884585870","https://openalex.org/W2890730477","https://openalex.org/W2904122576","https://openalex.org/W2913128707","https://openalex.org/W2954393156","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963323244","https://openalex.org/W2963881378","https://openalex.org/W2964309882","https://openalex.org/W2995766874","https://openalex.org/W2996290406","https://openalex.org/W3016664505","https://openalex.org/W3025800305","https://openalex.org/W3033813277","https://openalex.org/W3098881417","https://openalex.org/W3103092912","https://openalex.org/W3117652191","https://openalex.org/W3118741579","https://openalex.org/W3118804988","https://openalex.org/W3127338020","https://openalex.org/W3128055887","https://openalex.org/W3130455691","https://openalex.org/W3138136606","https://openalex.org/W3170697543","https://openalex.org/W3175205795","https://openalex.org/W3176945377","https://openalex.org/W3189528951","https://openalex.org/W3207493400","https://openalex.org/W4200386693","https://openalex.org/W4214868963","https://openalex.org/W4224882649","https://openalex.org/W4281633835","https://openalex.org/W4285301526","https://openalex.org/W4290981008","https://openalex.org/W4292553515","https://openalex.org/W4303980720","https://openalex.org/W4309455553","https://openalex.org/W4312845279","https://openalex.org/W4312868071","https://openalex.org/W4312947755","https://openalex.org/W4313196042","https://openalex.org/W4320018395","https://openalex.org/W4324144346","https://openalex.org/W6788445429","https://openalex.org/W6790389072","https://openalex.org/W6790739679","https://openalex.org/W6809703551","https://openalex.org/W6847611155","https://openalex.org/W6848624624","https://openalex.org/W6850084082"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Water":[0],"body":[1],"extraction":[2,59],"is":[3,84,101,119,229],"a":[4,76,114,144],"typical":[5],"task":[6],"in":[7,24,219],"the":[8,31,36,53,58,73,89,133,138,151,161,172,178,189,210,226,234],"semantic":[9,42,125,182],"segmentation":[10,162,183],"of":[11,35,110,153,163,221],"remote":[12],"sensing":[13],"images":[14],"(RSIs).":[15],"Deep":[16],"convolutional":[17,33],"neural":[18],"networks":[19],"(DCNNs)":[20],"outperform":[21],"traditional":[22],"methods":[23],"mining":[25],"visual":[26,246],"features;":[27],"however,":[28],"due":[29],"to":[30,49,62,86,104,121],"inherent":[32],"mechanism":[34],"network,":[37,81],"spatial":[38],"details":[39],"and":[40,56,69,107,177,195,203,217,223,239,243],"abstract":[41],"representations":[43],"at":[44,52,215],"different":[45],"levels":[46],"are":[47,141,156],"difficult":[48],"capture":[50],"accurately":[51],"same":[54],"time,":[55],"then":[57],"results":[60],"decline":[61],"become":[63],"suboptimal,":[64],"especially":[65],"on":[66,171,192],"narrow":[67],"areas":[68],"boundaries.":[70],"To":[71],"address":[72],"above-mentioned":[74,139],"problem,":[75],"multiscale":[77,90,106],"successive":[78,96],"attention":[79,97,116],"fusion":[80,98,146],"named":[82],"MSAFNet,":[83],"proposed":[85,120],"efficiently":[87],"aggregate":[88],"features":[91,109,135],"from":[92],"two":[93],"aspects.":[94],"A":[95],"module":[99,117,147],"(SAFM)":[100],"first":[102],"devised":[103],"extract":[105],"fine-grained":[108],"water":[111,154,165],"bodies,":[112],"while":[113],"joint":[115],"(JAM)":[118],"further":[122],"mine":[123],"salient":[124],"information":[126],"by":[127,137,143],"jointly":[128],"modeling":[129],"contextual":[130],"dependencies.":[131],"Furthermore,":[132],"multi-level":[134],"extracted":[136],"modules":[140],"aggregated":[142],"feature":[145],"(FFM)":[148],"so":[149],"that":[150],"edges":[152],"bodies":[155],"well":[157],"mapped,":[158],"directly":[159],"improving":[160],"various":[164],"bodies.":[166],"Extensive":[167],"experiments":[168],"were":[169],"conducted":[170],"Qinghai-Tibet":[173],"Plateau":[174],"Lake":[175],"(QTPL)":[176],"Land-cOVEr":[179],"Domain":[180],"Adaptive":[181],"(LoveDA)":[184],"datasets.":[185],"Numerically,":[186],"MSAFNet":[187,213,232],"reached":[188],"highest":[190],"accuracy":[191],"both":[193],"QTPL":[194,211],"LoveDA":[196,227],"datasets,":[197],"including":[198],"Kappa,":[199],"MIoU,":[200],"FWIoU,":[201],"F1,":[202],"OA,":[204],"outperforming":[205],"several":[206],"mainstream":[207],"methods.":[208],"Regarding":[209],"dataset,":[212],"peaked":[214],"99.14%":[216],"98.97%":[218],"terms":[220],"F1":[222,238],"OA.":[224],"Although":[225],"dataset":[228],"more":[230],"challenging,":[231],"retained":[233],"best":[235],"performance,":[236],"with":[237,250],"OA":[240],"being":[241],"97.69%":[242],"95.87%.":[244],"Additionally,":[245],"inspections":[247],"exhibited":[248],"consistency":[249],"numerical":[251],"evaluations.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}