{"id":"https://openalex.org/W4413155240","doi":"https://doi.org/10.1109/access.2025.3598116","title":"Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation","display_name":"Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413155240","doi":"https://doi.org/10.1109/access.2025.3598116"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3598116","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3598116","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","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/access.2025.3598116","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086487776","display_name":"Jianxia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxia Wang","raw_affiliation_strings":["College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaozu Qiu","orcid":"https://orcid.org/0009-0003-5911-4029"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozu Qiu","raw_affiliation_strings":["College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0009-0003-5911-4029","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jia Cai","orcid":"https://orcid.org/0009-0007-9873-7084"},"institutions":[{"id":"https://openalex.org/I183006215","display_name":"Shijiazhuang University","ror":"https://ror.org/028rmam09","country_code":"CN","type":"education","lineage":["https://openalex.org/I183006215"]},{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jia Cai","raw_affiliation_strings":["College of Continuing Education, Hebei Open University, Shijiazhuang, China","Hebei Open University, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0009-0007-9873-7084","affiliations":[{"raw_affiliation_string":"College of Continuing Education, Hebei Open University, Shijiazhuang, China","institution_ids":["https://openalex.org/I183006215"]},{"raw_affiliation_string":"Hebei Open University, Shijiazhuang, China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101613577","display_name":"Xiaoming Zhang","orcid":"https://orcid.org/0000-0003-3101-7713"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086487776"],"corresponding_institution_ids":["https://openalex.org/I34155123"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2155,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87704773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"145319","last_page":"145333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9232000112533569,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9232000112533569,"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":0.9120000004768372,"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":0.7546016573905945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592901349067688},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6153831481933594},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.55995774269104},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5599471926689148},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5251559615135193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5229495167732239},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5225600600242615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5040194392204285},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49048301577568054},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45124930143356323},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41410452127456665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28744953870773315},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1979162096977234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11476853489875793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546016573905945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592901349067688},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6153831481933594},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.55995774269104},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5599471926689148},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5251559615135193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5229495167732239},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5225600600242615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5040194392204285},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49048301577568054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45124930143356323},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41410452127456665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28744953870773315},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1979162096977234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11476853489875793},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3598116","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3598116","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:028efef0ae6b4a288053e5e5ea5119e2","is_oa":true,"landing_page_url":"https://doaj.org/article/028efef0ae6b4a288053e5e5ea5119e2","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 Access, Vol 13, Pp 145319-145333 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3598116","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3598116","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2054418046","https://openalex.org/W2964309882","https://openalex.org/W3040323135","https://openalex.org/W3108601100","https://openalex.org/W3162977387","https://openalex.org/W4226334005","https://openalex.org/W4289745098","https://openalex.org/W4294691154","https://openalex.org/W4296106334","https://openalex.org/W4309194304","https://openalex.org/W4312443924","https://openalex.org/W4379209584","https://openalex.org/W4386997422","https://openalex.org/W4388145495","https://openalex.org/W4389144491","https://openalex.org/W4390871550","https://openalex.org/W4399422304","https://openalex.org/W4399728165","https://openalex.org/W4400336671","https://openalex.org/W4400338913","https://openalex.org/W4402760992","https://openalex.org/W4402775306","https://openalex.org/W4403897000","https://openalex.org/W4404408958","https://openalex.org/W6861502123"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"The":[0,58,139],"heterogeneity":[1],"and":[2,29,53,82,90,116,136],"complexity":[3],"of":[4,26,68],"multi-modal":[5,94,162],"data":[6,31],"in":[7,154,161],"high-resolution":[8,27],"remote":[9],"sensing":[10],"images":[11],"posed":[12],"a":[13,43,83,97],"severe":[14],"challenge":[15],"to":[16,22,34,64,75,92,106,111],"existing":[17],"cross-modal":[18],"networks":[19],"that":[20,143],"aim":[21],"fuse":[23],"complementary":[24],"information":[25,32,99],"optical":[28],"elevation":[30],"(DSM)":[33],"achieve":[35,93,112],"accurate":[36],"semantic":[37],"segmentation.":[38],"To":[39,121],"solve":[40],"this":[41],"problem,":[42],"weighted":[44],"feature":[45,79,114,163],"fusion":[46,115],"network":[47],"based":[48,86],"on":[49,87],"large":[50,88],"kernel":[51,89],"convolution":[52],"Transformer":[54,91],"(LTFCNet)":[55],"was":[56],"proposed.":[57],"model":[59,146],"uses":[60],"two":[61],"parallel":[62],"encoders":[63],"extract":[65],"the":[66,77,123,134,144,155],"features":[67],"different":[69],"modalities,":[70],"an":[71],"improved":[72],"cross-fusion":[73],"module":[74,85],"enhance":[76,117],"encoder\u2019s":[78],"extraction":[80],"capability,":[81],"gate":[84],"fusion.":[95,164],"Finally,":[96],"Difference":[98],"Feature":[100],"Fusion":[101],"Module":[102],"(DFFM)":[103],"leveraging":[104],"attention":[105],"differential":[107],"regions":[108],"is":[109],"used":[110],"cross-level":[113],"small":[118],"object":[119],"detection.":[120],"evaluate":[122],"network,":[124],"we":[125],"compare":[126],"it":[127],"with":[128],"several":[129],"state-of-the-art":[130],"models":[131,150],"(SOTA),":[132],"using":[133],"Potsdam":[135],"Vaihingen":[137],"datasets.":[138],"experimental":[140],"results":[141],"demonstrate":[142],"proposed":[145],"outperforms":[147],"other":[148],"SOTA":[149],"by":[151],"approximately":[152],"2%":[153],"mIoU":[156],"metric,":[157],"validating":[158],"its":[159],"effectiveness":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}