{"id":"https://openalex.org/W7126097433","doi":"https://doi.org/10.1145/3778265.3778271","title":"Road Detection from Satellite Images using Semantic Segmentation","display_name":"Road Detection from Satellite Images using Semantic Segmentation","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W7126097433","doi":"https://doi.org/10.1145/3778265.3778271"},"language":null,"primary_location":{"id":"doi:10.1145/3778265.3778271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3778265.3778271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th International Conference on Big-data Service and Intelligent Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3778265.3778271","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124267507","display_name":"Kavin Singhakhet","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Kavin Singhakhet","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-4227-4095","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124261246","display_name":"Athittaya Sriaram","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Athittaya Sriaram","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0000-5194-0965","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124270518","display_name":"Suphanat Thaiprasit","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suphanat Thaiprasit","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-5316-6225","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124185525","display_name":"Nattawut Tiraborisut","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nattawut Tiraborisut","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0004-6015-3161","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116746525","display_name":"Voramate Plodprong","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Voramate Plodprong","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0009-0006-0160-8116","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5118677329","display_name":"Thitirat Siriborvornratanakul","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thitirat Siriborvornratanakul","raw_affiliation_strings":["Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-6530-5302","affiliations":[{"raw_affiliation_string":"Graduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124267507"],"corresponding_institution_ids":["https://openalex.org/I159665162"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66167956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9932000041007996,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9932000041007996,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0024999999441206455,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/segmentation","display_name":"Segmentation","score":0.7038000226020813},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6851999759674072},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.6805999875068665},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5376999974250793},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.43869999051094055},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.41999998688697815},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.38929998874664307},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3813000023365021}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7038000226020813},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6851999759674072},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.6805999875068665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6777999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144999861717224},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5376999974250793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45719999074935913},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.43869999051094055},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3813000023365021},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36899998784065247},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3778265.3778271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3778265.3778271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th International Conference on Big-data Service and Intelligent Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3778265.3778271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3778265.3778271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 7th International Conference on Big-data Service and Intelligent Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W3007268491","https://openalex.org/W3092972102","https://openalex.org/W3096947210","https://openalex.org/W3121754326","https://openalex.org/W3129544296","https://openalex.org/W3159442990","https://openalex.org/W3165336848"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,74,114,135,151],"rise":[2],"of":[3,58,76,127,132,143,148],"technology":[4],"and":[5,23,86,88,102,116,129,139,145],"changes":[6],"in":[7],"consumer":[8],"behavior,":[9],"service-providing":[10],"applications":[11],"that":[12],"rely":[13],"on":[14,113,134,150],"maps":[15,53],"as":[16,40],"their":[17],"core":[18],"component":[19],"(e.g.,":[20],"taxi":[21],"services":[22],"food":[24],"delivery":[25],"applications)":[26],"have":[27],"increasingly":[28],"shifted":[29],"from":[30,69],"well-known":[31],"commercial":[32],"map":[33],"API":[34],"subscriptions":[35],"to":[36,44,66,72,105],"open-source":[37,52,77],"alternatives,":[38],"such":[39],"OpenStreetMap":[41],"(OSM),":[42],"due":[43],"high":[45],"operational":[46],"costs.":[47],"However,":[48],"problems":[49],"arise":[50],"when":[51],"lack":[54],"sufficient":[55],"detail":[56],"because":[57],"incomplete":[59],"information.":[60],"In":[61,110],"this":[62],"study,":[63],"we":[64],"aim":[65],"segment":[67],"roads":[68],"satellite":[70],"images":[71],"enhance":[73],"quality":[75],"maps.":[78],"We":[79],"evaluated":[80],"baseline":[81],"models":[82],"including":[83],"U-Net,":[84],"ResUNet,":[85],"FCN,":[87],"subsequently":[89],"proposed":[90,121],"an":[91,130,146],"adjusted":[92],"U-Net\u2013based":[93],"model":[94,122],"called":[95],"U-Net":[96],"Plus,":[97],"which":[98],"incorporates":[99],"additional":[100],"preprocessing":[101],"batch":[103],"normalization":[104],"improve":[106],"road":[107,118,137],"segmentation":[108],"performance.":[109],"experiments":[111],"conducted":[112],"DeepGlobe":[115,152],"Massachusetts":[117,136],"datasets,":[119],"our":[120],"achieved":[123],"a":[124,140],"Dice":[125,141],"Coefficient":[126,142],"45%":[128],"IoU":[131,147],"29%":[133],"dataset,":[138],"31%":[144],"19%":[149],"dataset.":[153]},"counts_by_year":[],"updated_date":"2026-01-30T23:21:52.101496","created_date":"2026-01-30T00:00:00"}