{"id":"https://openalex.org/W4416677706","doi":"https://doi.org/10.1109/access.2025.3631504","title":"Lightweight Remote Sensing Image Segmentation Network With Dilated Convolution and Data-Dependent Attention Decoder","display_name":"Lightweight Remote Sensing Image Segmentation Network With Dilated Convolution and Data-Dependent Attention Decoder","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416677706","doi":"https://doi.org/10.1109/access.2025.3631504"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3631504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631504","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.2025.3631504","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039108675","display_name":"Luyang Liu","orcid":"https://orcid.org/0000-0003-4466-2308"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]},{"id":"https://openalex.org/I4210111835","display_name":"Osaka Health Science University","ror":"https://ror.org/01tvqd679","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210111835"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Luyang Liu","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4466-2308","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908","https://openalex.org/I14314212","https://openalex.org/I4210111835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082217250","display_name":"Savath Saypadith","orcid":"https://orcid.org/0000-0001-7101-8257"},"institutions":[{"id":"https://openalex.org/I43895496","display_name":"National University of Laos","ror":"https://ror.org/031xne895","country_code":"LA","type":"education","lineage":["https://openalex.org/I43895496"]}],"countries":["LA"],"is_corresponding":false,"raw_author_name":"Savath Saypadith","raw_affiliation_strings":["Faculty of Engineering, National University of Laos, Vientiane, Laos"],"raw_orcid":"https://orcid.org/0000-0001-7101-8257","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, National University of Laos, Vientiane, Laos","institution_ids":["https://openalex.org/I43895496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050838950","display_name":"Ittetsu Taniguchi","orcid":"https://orcid.org/0000-0002-7843-5907"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]},{"id":"https://openalex.org/I4210111835","display_name":"Osaka Health Science University","ror":"https://ror.org/01tvqd679","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210111835"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ittetsu Taniguchi","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7843-5907","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908","https://openalex.org/I14314212","https://openalex.org/I4210111835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021863826","display_name":"Jinjia Zhou","orcid":"https://orcid.org/0000-0002-5078-0522"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinjia Zhou","raw_affiliation_strings":["Graduate School of Science and Engineering, Hosei University, Koganei, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5078-0522","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Hosei University, Koganei, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075308907","display_name":"Hiroki Nishikawa","orcid":"https://orcid.org/0000-0002-9626-0944"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]},{"id":"https://openalex.org/I4210111835","display_name":"Osaka Health Science University","ror":"https://ror.org/01tvqd679","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210111835"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Nishikawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9626-0944","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908","https://openalex.org/I14314212","https://openalex.org/I4210111835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061693379","display_name":"Takao Onoye","orcid":"https://orcid.org/0000-0002-1894-2448"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]},{"id":"https://openalex.org/I4210111835","display_name":"Osaka Health Science University","ror":"https://ror.org/01tvqd679","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210111835"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Onoye","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1894-2448","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka, Osaka, Japan","institution_ids":["https://openalex.org/I98285908","https://openalex.org/I14314212","https://openalex.org/I4210111835"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32043953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"196868","last_page":"196886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.02500000037252903,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.0066999997943639755,"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/convolution","display_name":"Convolution (computer science)","score":0.6886000037193298},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6671000123023987},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6334999799728394},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49390000104904175},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.43050000071525574},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.38940000534057617},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.3815000057220459},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.37220001220703125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285999894142151},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6886000037193298},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6671000123023987},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6334999799728394},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6126000285148621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5156000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005000233650208},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49390000104904175},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.3815000057220459},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3352000117301941},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3296000063419342},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.30079999566078186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3631504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631504","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:25e69591127947189674ec54f680425b","is_oa":true,"landing_page_url":"https://doaj.org/article/25e69591127947189674ec54f680425b","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 196868-196886 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3631504","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3631504","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":[{"id":"https://openalex.org/G1254020277","display_name":null,"funder_award_id":"22K12101","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2548931388","display_name":null,"funder_award_id":"23K16858","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5861246866","display_name":null,"funder_award_id":"22K12101","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"},{"id":"https://openalex.org/G8690124063","display_name":null,"funder_award_id":"23K16858","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"object":[1],"segmentation":[2,21,43,159],"in":[3,31],"high-resolution":[4],"remote":[5],"sensing":[6],"imagery":[7],"is":[8],"essential":[9],"for":[10,85,156],"urban":[11],"planning,":[12],"infrastructure":[13],"monitoring,":[14],"and":[15,45,73,99,137],"environmental":[16],"analysis.":[17],"However,":[18],"large-scale":[19],"semantic":[20],"models":[22],"often":[23],"entail":[24],"prohibitive":[25],"computational":[26,46,141,162],"costs,":[27],"limiting":[28],"their":[29],"deployment":[30],"resource-constrained":[32],"environments.":[33],"This":[34],"paper":[35],"presents":[36],"a":[37,52,74],"lightweight":[38],"encoder\u2013decoder":[39],"architecture":[40],"that":[41,78,104],"balances":[42],"accuracy":[44,109],"efficiency.":[47],"The":[48],"proposed":[49,154],"framework":[50],"integrates":[51],"Light":[53],"Dilated":[54],"Convolution":[55],"(LDC)":[56],"module,":[57],"which":[58,131],"uses":[59],"cascaded":[60],"depthwise":[61],"separable":[62],"dilated":[63],"convolutions":[64],"to":[65],"expand":[66],"the":[67,91,122,150,153],"receptive":[68],"field":[69],"with":[70,82,110],"minimal":[71],"parameters,":[72,130],"data-dependent":[75],"attention":[76,84],"decoder":[77],"fuses":[79],"data-driven":[80],"upsampling":[81],"channel":[83],"refined":[86],"spatial":[87],"recovery.":[88],"Experiments":[89],"on":[90,121],"WHU":[92,100,123],"Building":[93,124],"(including":[94],"synthetic":[95],"fog),":[96],"Massachusetts":[97],"Building,":[98],"Road":[101],"datasets":[102],"demonstrate":[103],"our":[105],"method":[106],"achieves":[107],"competitive":[108],"substantially":[111],"reduced":[112],"complexity.":[113],"Specifically,":[114],"it":[115],"attains":[116],"an":[117],"IoU":[118],"of":[119,134,139,152],"89.04%":[120],"Dataset":[125],"using":[126],"only":[127],"1.89":[128],"million":[129],"just":[132],"6.09%":[133],"D-LinkNet\u2019s":[135],"size":[136],"7.34%":[138],"its":[140],"cost,":[142],"while":[143],"maintaining":[144],"comparable":[145],"accuracy.":[146],"These":[147],"results":[148],"confirm":[149],"effectiveness":[151],"approach":[155],"efficient,":[157],"high-precision":[158],"under":[160],"constrained":[161],"budgets.":[163]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-11T00:00:00"}
