{"id":"https://openalex.org/W4386355362","doi":"https://doi.org/10.1145/3583780.3615226","title":"Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment","display_name":"Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4386355362","doi":"https://doi.org/10.1145/3583780.3615226"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.15979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002549014","display_name":"Donghyun Ahn","orcid":"https://orcid.org/0000-0001-8473-9598"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyun Ahn","raw_affiliation_strings":["KAIST, IBS, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8473-9598","affiliations":[{"raw_affiliation_string":"KAIST, IBS, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029909242","display_name":"Minhyuk Song","orcid":"https://orcid.org/0009-0004-3634-2560"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minhyuk Song","raw_affiliation_strings":["KAIST, IBS, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-3634-2560","affiliations":[{"raw_affiliation_string":"KAIST, IBS, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085149492","display_name":"Seungeon Lee","orcid":"https://orcid.org/0000-0002-9756-0068"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungeon Lee","raw_affiliation_strings":["KAIST, IBS, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9756-0068","affiliations":[{"raw_affiliation_string":"KAIST, IBS, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064862536","display_name":"Yubin Choi","orcid":"https://orcid.org/0000-0002-6042-5313"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yubin Choi","raw_affiliation_strings":["KAIST, IBS, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6042-5313","affiliations":[{"raw_affiliation_string":"KAIST, IBS, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020954573","display_name":"Jihee Kim","orcid":"https://orcid.org/0000-0002-3875-1083"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihee Kim","raw_affiliation_strings":["KAIST, IBS, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3875-1083","affiliations":[{"raw_affiliation_string":"KAIST, IBS, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002979521","display_name":"Sangyoon Park","orcid":"https://orcid.org/0000-0003-3078-5956"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sangyoon Park","raw_affiliation_strings":["HKUST, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3078-5956","affiliations":[{"raw_affiliation_string":"HKUST, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039539419","display_name":"Hyunjoo Yang","orcid":"https://orcid.org/0000-0001-7204-5919"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjoo Yang","raw_affiliation_strings":["Sogang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7204-5919","affiliations":[{"raw_affiliation_string":"Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061810530","display_name":"Meeyoung Cha","orcid":"https://orcid.org/0000-0003-4085-9648"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Meeyoung Cha","raw_affiliation_strings":["IBS, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4085-9648","affiliations":[{"raw_affiliation_string":"IBS, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11776815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3717","last_page":"3721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.7113658785820007},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6166391968727112},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6157543659210205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5922942161560059},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.4960366189479828},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.49566876888275146},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46880394220352173},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.46625861525535583},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41649138927459717},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3811102509498596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34479111433029175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2914777100086212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25520533323287964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11219936609268188},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.09146219491958618}],"concepts":[{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.7113658785820007},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6166391968727112},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6157543659210205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5922942161560059},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.4960366189479828},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.49566876888275146},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46880394220352173},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.46625861525535583},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41649138927459717},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3811102509498596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34479111433029175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2914777100086212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25520533323287964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11219936609268188},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.09146219491958618},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3615226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.15979","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.15979","pdf_url":"https://arxiv.org/pdf/2308.15979","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":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-135524","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-135524","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.15979","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.15979","pdf_url":"https://arxiv.org/pdf/2308.15979","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G4037701428","display_name":null,"funder_award_id":"RS-2022-00165347","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4833854091","display_name":null,"funder_award_id":"RS-2022-00165347","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5885902318","display_name":null,"funder_award_id":"IBS-R029-C2","funder_id":"https://openalex.org/F4320326441","funder_display_name":"Institute for Basic Science"},{"id":"https://openalex.org/G8947125434","display_name":null,"funder_award_id":"IBS-R029-C2","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320326441","display_name":"Institute for Basic Science","ror":"https://ror.org/00y0zf565"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386355362.pdf","grobid_xml":"https://content.openalex.org/works/W4386355362.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1566913341","https://openalex.org/W2122538988","https://openalex.org/W2125027820","https://openalex.org/W2194775991","https://openalex.org/W2261150581","https://openalex.org/W2513506629","https://openalex.org/W2744095047","https://openalex.org/W2905255083","https://openalex.org/W3010464534","https://openalex.org/W3033427317","https://openalex.org/W3080604000","https://openalex.org/W3096934659","https://openalex.org/W3114735216","https://openalex.org/W3164016930","https://openalex.org/W3165855014","https://openalex.org/W4224317403","https://openalex.org/W4229004105","https://openalex.org/W4243423138"],"related_works":["https://openalex.org/W3210452439","https://openalex.org/W4294536920","https://openalex.org/W3148130686","https://openalex.org/W2037749514","https://openalex.org/W2411338097","https://openalex.org/W2375836089","https://openalex.org/W4388832383","https://openalex.org/W2504367709","https://openalex.org/W2015666588","https://openalex.org/W292456094"],"abstract_inverted_index":{"While":[0],"measuring":[1],"socioeconomic":[2,44],"indicators":[3],"is":[4,135],"critical":[5],"for":[6],"local":[7],"governments":[8],"to":[9,33,46,75],"make":[10],"informed":[11],"policy":[12],"decisions,":[13],"such":[14],"measurements":[15],"are":[16],"often":[17],"unavailable":[18],"at":[19,106],"fine-grained":[20,133],"levels":[21],"like":[22],"municipality.":[23],"This":[24],"study":[25],"employs":[26],"deep":[27],"learning-based":[28],"predictions":[29],"from":[30],"satellite":[31,48],"images":[32],"close":[34],"the":[35,52,61,73,77,108],"gap.":[36],"We":[37,64],"propose":[38],"a":[39,43],"method":[40,96,114],"that":[41,94],"assigns":[42],"score":[45],"each":[47],"image":[49],"by":[50],"capturing":[51],"distributional":[53],"behavior":[54],"observed":[55],"in":[56,90,100,119,128],"larger":[57],"areas":[58],"based":[59,86],"on":[60,87],"ground":[62],"truth.":[63],"train":[65],"an":[66],"ordinal":[67],"regression":[68],"scoring":[69],"model":[70],"and":[71,82,103,110],"adjust":[72],"scores":[74],"follow":[76],"common":[78],"power":[79],"law":[80],"within":[81],"across":[83],"regions.":[84],"Evaluation":[85],"official":[88],"statistics":[89],"South":[91],"Korea":[92],"shows":[93],"our":[95],"outperforms":[97],"previous":[98],"models":[99],"predicting":[101],"population":[102],"employment":[104],"size":[105],"both":[107],"municipality":[109],"grid":[111],"levels.":[112],"Our":[113],"also":[115],"demonstrates":[116],"robust":[117],"performance":[118],"districts":[120],"with":[121],"uneven":[122],"development,":[123],"suggesting":[124],"its":[125],"potential":[126],"use":[127],"developing":[129],"countries":[130],"where":[131],"reliable,":[132],"data":[134],"scarce.":[136]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2023-09-02T00:00:00"}