{"id":"https://openalex.org/W4399795009","doi":"https://doi.org/10.48550/arxiv.2406.11282","title":"From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas","display_name":"From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399795009","doi":"https://doi.org/10.48550/arxiv.2406.11282"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2406.11282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.11282","pdf_url":"https://arxiv.org/pdf/2406.11282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.11282","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067943001","display_name":"Yanxin Xi","orcid":"https://orcid.org/0000-0003-4715-2186"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xi, Yanxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004545610","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2399-2829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Zhicheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhicheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054443906","display_name":"Sasu Tarkoma","orcid":"https://orcid.org/0000-0003-4220-3650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tarkoma, Sasu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000530436","display_name":"Pan Hui","orcid":"https://orcid.org/0000-0001-6026-1083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui, Pan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yong","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067943001"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9947999715805054,"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":0.9947999715805054,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12644","display_name":"Wildlife-Road Interactions and Conservation","score":0.9196000099182129,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/socioeconomic-status","display_name":"Socioeconomic status","score":0.7250282764434814},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.6541910767555237},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5532667636871338},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5308443307876587},{"id":"https://openalex.org/keywords/satellite-image","display_name":"Satellite image","score":0.48876070976257324},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4783632159233093},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.40870675444602966},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4064963459968567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3410259485244751},{"id":"https://openalex.org/keywords/regional-science","display_name":"Regional science","score":0.33708059787750244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1985587477684021},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.13838684558868408},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11079910397529602},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.06064605712890625}],"concepts":[{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.7250282764434814},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6541910767555237},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5532667636871338},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5308443307876587},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.48876070976257324},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4783632159233093},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.40870675444602966},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4064963459968567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3410259485244751},{"id":"https://openalex.org/C148383697","wikidata":"https://www.wikidata.org/wiki/Q1781695","display_name":"Regional science","level":1,"score":0.33708059787750244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1985587477684021},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.13838684558868408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11079910397529602},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.06064605712890625},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2406.11282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.11282","pdf_url":"https://arxiv.org/pdf/2406.11282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2406.11282","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2406.11282","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.11282","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.11282","pdf_url":"https://arxiv.org/pdf/2406.11282","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2437064176","display_name":null,"funder_award_id":"U21B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7415205322","display_name":null,"funder_award_id":"62171260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8047082324","display_name":null,"funder_award_id":"U22B2057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399795009.pdf","grobid_xml":"https://content.openalex.org/works/W4399795009.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4294536920","https://openalex.org/W3148130686","https://openalex.org/W2037749514","https://openalex.org/W2411338097","https://openalex.org/W2375836089","https://openalex.org/W3034574761","https://openalex.org/W174587118","https://openalex.org/W2206612814","https://openalex.org/W3118557097","https://openalex.org/W4396934652"],"abstract_inverted_index":{"The":[0,161,184],"Sustainable":[1],"Development":[2],"Goals":[3],"(SDGs)":[4],"aim":[5],"to":[6,31,45,167],"resolve":[7],"societal":[8],"challenges,":[9],"such":[10],"as":[11],"eradicating":[12],"poverty":[13],"and":[14,34,63,94,130,151,188],"improving":[15],"the":[16,57,74,124,127,135],"lives":[17],"of":[18,59,76,109,134],"vulnerable":[19],"populations":[20],"in":[21,51,80,116,123,155,159,171],"impoverished":[22,52,81,117,157,172],"areas.":[23],"Those":[24],"areas":[25,53],"rely":[26],"on":[27,97,113],"road":[28,47,77,87,110,143,176],"infrastructure":[29],"construction":[30,178],"promote":[32],"accessibility":[33],"economic":[35,182],"development.":[36,183],"Although":[37],"publicly":[38],"available":[39,44],"data":[40,49,115],"like":[41],"OpenStreetMap":[42],"is":[43,54,164],"monitor":[46],"status,":[48],"completeness":[50],"limited.":[55],"Meanwhile,":[56],"development":[58],"deep":[60],"learning":[61],"techniques":[62],"satellite":[64,98],"imagery":[65],"shows":[66],"excellent":[67],"potential":[68],"for":[69,104],"earth":[70],"monitoring.":[71],"To":[72],"tackle":[73],"challenge":[75],"network":[78,111,144,177],"assessment":[79],"areas,":[82],"we":[83],"develop":[84],"a":[85,120,141],"systematic":[86],"extraction":[88,112],"framework":[89],"combining":[90],"an":[91,101],"encoder-decoder":[92],"architecture":[93],"morphological":[95],"operations":[96],"imagery,":[99],"offering":[100],"integrated":[102],"workflow":[103],"interdisciplinary":[105],"researchers.":[106],"Extensive":[107],"experiments":[108],"real-world":[114],"regions":[118],"achieve":[119],"42.7%":[121],"enhancement":[122],"F1-score":[125],"over":[126],"baseline":[128],"methods":[129],"reconstruct":[131],"about":[132],"80%":[133],"actual":[136],"roads.":[137],"We":[138],"also":[139],"propose":[140],"comprehensive":[142],"dataset":[145,163,190],"covering":[146],"approximately":[147],"794,178":[148],"km2":[149],"area":[150],"17.048":[152],"million":[153],"people":[154],"382":[156],"counties":[158],"China.":[160],"generated":[162,189],"further":[165],"utilized":[166],"conduct":[168],"socioeconomic":[169],"analysis":[170],"counties,":[173],"showing":[174],"that":[175],"positively":[179],"impacts":[180],"regional":[181],"technical":[185],"appendix,":[186],"code,":[187],"can":[191],"be":[192],"found":[193],"at":[194],"https://github.com/tsinghua-fib-lab/Road_network_extraction_impoverished_counties.":[195]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2024-06-19T00:00:00"}