{"id":"https://openalex.org/W4402261546","doi":"https://doi.org/10.1109/igarss53475.2024.10642039","title":"Multimodal Segformer for Flood Rapid Mapping with Sentinel-2 Data","display_name":"Multimodal Segformer for Flood Rapid Mapping with Sentinel-2 Data","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261546","doi":"https://doi.org/10.1109/igarss53475.2024.10642039"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5051108735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0003-0338-7645"},"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":"Xiaoqiang Lu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107013293","display_name":"Tong Gou","orcid":null},"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":"Tong Gou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076739504","display_name":"Zhongjian Huang","orcid":"https://orcid.org/0000-0003-2004-0619"},"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":"Zhongjian Huang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,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 School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,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 School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443350","display_name":"Lingling Li","orcid":"https://orcid.org/0000-0002-6130-2518"},"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":"Lingling Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331710","display_name":"Xu Liu","orcid":"https://orcid.org/0000-0002-8780-5455"},"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":"Xu Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101814607","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-0482-3288"},"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 School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence, Xidian University,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5051108735"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.5967,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66880393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"790","last_page":"793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9958999752998352,"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":0.9958999752998352,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9830999970436096,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9634000062942505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6526539921760559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381837129592896},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3948657214641571},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23736006021499634},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14966312050819397}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6526539921760559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381837129592896},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3948657214641571},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23736006021499634},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14966312050819397},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10642039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8500000238418579}],"awards":[],"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":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W3175515048","https://openalex.org/W3211490618","https://openalex.org/W4200142374","https://openalex.org/W4283450732","https://openalex.org/W4312325112","https://openalex.org/W4367721790","https://openalex.org/W4392796515","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Flood":[0],"rapid":[1,77],"mapping":[2,150],"products":[3],"play":[4],"an":[5,67],"important":[6],"role":[7],"in":[8],"informing":[9],"flood":[10,36,76,153],"emergency":[11],"response":[12],"and":[13,51,92,130,165,173,180],"management.":[14],"To":[15],"this":[16,63],"end,":[17],"the":[18,33,43,56,125,135,171,184],"2024":[19],"IEEE":[20],"GRSS":[21],"Data":[22],"Fusion":[23,112],"Contest":[24],"Track":[25],"2":[26],"(DFC24-T2)":[27],"establishes":[28],"a":[29,109,117,141],"multimodal":[30,90,128,166],"benchmark":[31],"for":[32,74],"segmentation":[34,60],"of":[35,45,58,127,152,175,186],"areas":[37],"from":[38],"Sentinel-2":[39],"multispectral":[40],"images.":[41],"However,":[42],"problems":[44],"imbalanced":[46],"data":[47,49,159],"distribution,":[48],"scarsity,":[50],"inter-modal":[52],"differences":[53],"severely":[54],"inhibit":[55],"performance":[57,172],"deep-learning-based":[59],"networks.":[61],"In":[62],"work,":[64],"we":[65,156],"propose":[66],"end-to-end":[68],"Multimodal":[69],"Transformer-based":[70],"Segmentation":[71],"Network":[72],"(MTSN)":[73],"accurate":[75],"mapping.":[78],"MTSN":[79],"first":[80],"employs":[81],"two":[82],"Siamese":[83],"encoders":[84],"with":[85],"shared":[86],"parameters":[87],"to":[88,122,147,168],"accept":[89],"inputs":[91],"output":[93],"their":[94],"respective":[95],"hierarchical":[96],"multiscale":[97],"features,":[98,129],"which":[99],"are":[100,138],"then":[101],"enriched":[102],"by":[103,140],"several":[104],"channel":[105],"attention":[106],"blocks.":[107],"Subsequently,":[108],"Cross-modal":[110],"Feature":[111],"Module":[113],"(CFFM)":[114],"based":[115],"on":[116],"gated":[118],"mechanism":[119],"is":[120,190],"proposed":[121],"efficiently":[123],"integrate":[124],"benefits":[126],"generate":[131,149],"informative":[132],"representations.":[133],"Finally,":[134],"fused":[136],"features":[137],"decoded":[139],"lightweight":[142],"pure":[143],"multilayer":[144],"perception":[145],"decoder":[146],"quickly":[148],"results":[151,179],"areas.":[154],"Moreover,":[155],"introduce":[157],"offline":[158],"augmentation,":[160,164],"semi-supervised":[161],"learning,":[162],"test-time":[163],"post-process":[167],"further":[169],"boost":[170],"generalization":[174],"our":[176,187],"MTSN.":[177],"Experimental":[178],"extensive":[181],"ablations":[182],"show":[183],"effectiveness":[185],"method.":[188],"Code":[189],"available":[191],"at":[192],"https://github.com/xiaoqiang-lu/MMSegFormer.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
