{"id":"https://openalex.org/W4408100376","doi":"https://doi.org/10.1109/jstars.2025.3547880","title":"Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation","display_name":"Vision Foundation Model Guided Multimodal Fusion Network for Remote Sensing Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408100376","doi":"https://doi.org/10.1109/jstars.2025.3547880"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3547880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3547880","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3547880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100649444","display_name":"Pan Chen","orcid":"https://orcid.org/0000-0002-5567-5801"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Pan","raw_affiliation_strings":["College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029844690","display_name":"Xijian Fan","orcid":"https://orcid.org/0000-0002-7017-7667"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijian Fan","raw_affiliation_strings":["College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7017-7667","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048103902","display_name":"Tardi Tjahjadi","orcid":"https://orcid.org/0000-0001-8612-735X"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tardi Tjahjadi","raw_affiliation_strings":["Engineering School, The university of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8612-735X","affiliations":[{"raw_affiliation_string":"Engineering School, The university of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035056634","display_name":"Haiyan Guan","orcid":"https://orcid.org/0000-0003-3691-8721"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Guan","raw_affiliation_strings":["School of Remote Sensing &amp; Geomatics Engineering, Nanjing University of Information Science and Technology, Najing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Remote Sensing &amp; Geomatics Engineering, Nanjing University of Information Science and Technology, Najing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087729203","display_name":"Liyong Fu","orcid":"https://orcid.org/0000-0002-5794-9458"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyong Fu","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5794-9458","affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039671101","display_name":"Qiaolin Ye","orcid":"https://orcid.org/0000-0002-8793-8610"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaolin Ye","raw_affiliation_strings":["College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8793-8610","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology &amp; Artificial Intelligence, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694558","display_name":"Ruili Wang","orcid":"https://orcid.org/0000-0001-7117-2772"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ruili Wang","raw_affiliation_strings":["The Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Natural and Mathematical Sciences, Massey University, Auckland, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":4.5718,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94347619,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"9409","last_page":"9431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9835000038146973,"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":0.9835000038146973,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9591000080108643,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287260293960571},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5865649580955505},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5206015110015869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4943351745605469},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.490911066532135},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4653063416481018},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4225500226020813},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4203948676586151},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4139768183231354},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41159236431121826},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3701833486557007},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1586858630180359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287260293960571},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5865649580955505},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5206015110015869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4943351745605469},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.490911066532135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4653063416481018},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4225500226020813},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4203948676586151},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4139768183231354},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41159236431121826},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3701833486557007},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1586858630180359},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2025.3547880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3547880","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:190352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/JSTARS.2025.3547880","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:19ae8760ea814cb4ab4f264fa8b79fc9","is_oa":true,"landing_page_url":"https://doaj.org/article/19ae8760ea814cb4ab4f264fa8b79fc9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 9409-9431 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3547880","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3547880","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2006929658","https://openalex.org/W2104657103","https://openalex.org/W2560023338","https://openalex.org/W2576237889","https://openalex.org/W2587989515","https://openalex.org/W2737725206","https://openalex.org/W2760340275","https://openalex.org/W2775906317","https://openalex.org/W2787091153","https://openalex.org/W2963995737","https://openalex.org/W2974777596","https://openalex.org/W3016664505","https://openalex.org/W3040988483","https://openalex.org/W3047158728","https://openalex.org/W3048631361","https://openalex.org/W3127930846","https://openalex.org/W3138136606","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3184761517","https://openalex.org/W3194110709","https://openalex.org/W3198139586","https://openalex.org/W3198236650","https://openalex.org/W3202923600","https://openalex.org/W3205361185","https://openalex.org/W3209540366","https://openalex.org/W4214709605","https://openalex.org/W4226359564","https://openalex.org/W4226530543","https://openalex.org/W4283450732","https://openalex.org/W4285150367","https://openalex.org/W4290715747","https://openalex.org/W4312795296","https://openalex.org/W4385245566","https://openalex.org/W4386076397","https://openalex.org/W4386076504","https://openalex.org/W4386179772","https://openalex.org/W4387208258","https://openalex.org/W4388129777","https://openalex.org/W4389898838","https://openalex.org/W4390873076","https://openalex.org/W4390874575","https://openalex.org/W4391021462","https://openalex.org/W4394008640","https://openalex.org/W4396982199","https://openalex.org/W4399258932","https://openalex.org/W4402727359","https://openalex.org/W4402916775","https://openalex.org/W4405571893","https://openalex.org/W4405785392","https://openalex.org/W6752606552","https://openalex.org/W6763251565","https://openalex.org/W6797399245","https://openalex.org/W6799579066","https://openalex.org/W6842806116","https://openalex.org/W6851800889","https://openalex.org/W6852909635","https://openalex.org/W6856738047","https://openalex.org/W6941273861"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W4379231730","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W1522196789","https://openalex.org/W2152662039"],"abstract_inverted_index":{"With":[0],"the":[1,8,83,89,118,138,151],"rapid":[2],"development":[3],"of":[4,10,29,142,153],"Earth":[5],"observation":[6],"sensors,":[7,43],"fusion":[9,28,59,126,128],"remote":[11],"sensing":[12],"(RS)":[13],"data":[14,31],"in":[15,24,37,158],"multimodal":[16,30,58],"semantic":[17,64,183],"segmentation":[18,81,184],"has":[19],"garnered":[20],"significant":[21],"research":[22],"focus":[23],"recent":[25],"years.":[26],"The":[27,66],"presents":[32,54],"challenges":[33],"due":[34],"to":[35,45,69,108,136],"discrepancies":[36],"image":[38],"acquisition":[39],"mechanisms":[40],"among":[41],"different":[42],"leading":[44],"misalignment":[46],"issues.":[47],"To":[48],"mitigate":[49],"this":[50,52],"challenge,":[51],"article":[53],"VSGNet,":[55],"a":[56,92,101,122],"novel":[57],"framework":[60,90],"designed":[61],"for":[62,79,85,96],"RS":[63,159,167,182],"segmentation.":[65],"work":[67],"aims":[68],"utilize":[70],"vision":[71,76,106],"structure":[72],"guidance":[73],"derived":[74],"by":[75],"foundation":[77],"model":[78],"accurate":[80],"without":[82],"need":[84],"auxiliary":[86],"sensors.":[87],"Specifically,":[88],"incorporates":[91],"cross-modal":[93,124],"collaborative":[94],"network":[95,104],"feature":[97,125,131],"embedding":[98],"that":[99],"blends":[100],"convolutional":[102],"neural":[103],"and":[105,114,130,155,175],"transformer":[107],"simultaneously":[109],"capture":[110],"both":[111],"local":[112],"information":[113],"long-range":[115],"dependencies":[116],"from":[117],"input":[119],"modalities.":[120],"Subsequently,":[121],"multiscale":[123,140],"comprising":[127],"enhancement":[129],"recalibration":[132],"modules":[133],"is":[134],"proposed":[135],"emphasize":[137],"adaptive":[139],"interaction":[141],"diverse":[143,166],"complementary":[144],"cues":[145],"between":[146],"each":[147],"modality":[148],"while":[149],"suppressing":[150],"impact":[152],"noise":[154],"uncertainties":[156],"present":[157],"data.":[160],"Extensive":[161],"experiments":[162],"conducted":[163],"on":[164],"four":[165],"datasets,":[168],"i.e.,":[169],"ISPRS":[170,172],"Potsdam,":[171],"Vaihingen,":[173],"LoveDA,":[174],"tree":[176],"mapping,":[177],"demonstrate":[178],"VSGNet":[179],"outperforms":[180],"state-of-the-art":[181],"models.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
