{"id":"https://openalex.org/W4387803694","doi":"https://doi.org/10.1109/igarss52108.2023.10281533","title":"Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain","display_name":"Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803694","doi":"https://doi.org/10.1109/igarss52108.2023.10281533"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281533","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079354584","display_name":"Ana Cl\u00e1udia Teixeira","orcid":"https://orcid.org/0000-0002-8455-5024"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ana Cl\u00e1udia Teixeira","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","institution_ids":["https://openalex.org/I155381812"]},{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104186005","display_name":"Leonor Batista","orcid":null},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Leonor Batista","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016278344","display_name":"Gabriel A. Carneiro","orcid":"https://orcid.org/0000-0001-7097-3260"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Gabriel Carneiro","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","institution_ids":["https://openalex.org/I155381812"]},{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103099779","display_name":"A. Cunha","orcid":"https://orcid.org/0000-0002-3458-7693"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ant\u00f3nio Cunha","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","institution_ids":["https://openalex.org/I155381812"]},{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066556659","display_name":"Joaquim J. Sousa","orcid":"https://orcid.org/0000-0003-4533-930X"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joaquim J. Sousa","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes and Alto Douro,Vila Real,Portugal,5000-801","institution_ids":["https://openalex.org/I155381812"]},{"raw_affiliation_string":"Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"6882","last_page":"6885"},"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":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9896000027656555,"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":0.9458000063896179,"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":0.7215020060539246},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6709681749343872},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6429988145828247},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.620711624622345},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6182041168212891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5855534672737122},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4742683172225952},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4677000045776367},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4667668044567108},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4561329483985901},{"id":"https://openalex.org/keywords/return-on-investment","display_name":"Return on investment","score":0.4428809583187103},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.4270835518836975},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4233185648918152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34737449884414673},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.17967906594276428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16789376735687256},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08894795179367065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215020060539246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6709681749343872},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6429988145828247},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.620711624622345},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6182041168212891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855534672737122},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4742683172225952},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4667668044567108},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4561329483985901},{"id":"https://openalex.org/C169549615","wikidata":"https://www.wikidata.org/wiki/Q939134","display_name":"Return on investment","level":3,"score":0.4428809583187103},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.4270835518836975},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4233185648918152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34737449884414673},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.17967906594276428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16789376735687256},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08894795179367065},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281533","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2810433150","https://openalex.org/W3005109275","https://openalex.org/W3135530408","https://openalex.org/W3200676841","https://openalex.org/W3203669056","https://openalex.org/W4295214906","https://openalex.org/W4386076325","https://openalex.org/W6802212091","https://openalex.org/W6843170883","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"Public":[0],"lighting":[1],"is":[2,46,100,146,187,191],"crucial":[3],"for":[4,54,126,194],"maintaining":[5],"the":[6,17,20,90,139,143,150,153,168,199],"safety":[7],"and":[8,34,37,56,108,112,119,122,167,176],"well-being":[9],"of":[10,129,152,165,174,179,184],"communities.":[11],"Current":[12],"inspection":[13],"methods":[14],"involve":[15],"examining":[16],"luminaires":[18],"during":[19],"day,":[21],"but":[22,189],"this":[23,60,185],"approach":[24],"has":[25],"drawbacks,":[26],"including":[27],"energy":[28],"consumption,":[29],"delay":[30],"in":[31,59],"detecting":[32],"issues,":[33],"high":[35],"costs":[36],"time":[38,87],"investment.":[39],"Utilising":[40],"deep":[41,67],"learning":[42,68],"based":[43],"automatic":[44],"detection":[45],"an":[47],"advanced":[48],"method":[49],"that":[50,159],"can":[51],"be":[52],"used":[53,116,147],"identifying":[55],"locating":[57],"issues":[58],"field.":[61],"This":[62],"study":[63,83,157],"aims":[64],"to":[65,69,93,117,137,148,197],"use":[66],"automatically":[70],"detect":[71],"burnt-out":[72],"street":[73],"lights,":[74],"using":[75],"Seville":[76],"(Spain)":[77],"as":[78],"a":[79,95,162,172,177],"case":[80],"study.":[81],"The":[82,110,156,181],"uses":[84],"high-resolution":[85],"night":[86],"imagery":[88],"from":[89],"JL1-3B":[91],"satellite":[92],"create":[94],"dataset":[96,145],"called":[97],"NLight,":[98],"which":[99],"then":[101],"divided":[102],"into":[103],"three":[104],"subsets:":[105],"NL1,":[106],"NL2,":[107],"NT.":[109],"NL1":[111],"NL2":[113],"datasets":[114],"are":[115],"train":[118],"evaluate":[120,149],"YOLOv5":[121,160],"YOLOv7":[123],"segmentation":[124,128],"models":[125],"instance":[127],"streets.":[130],"And":[131],"then,":[132],"distance":[133],"outliers":[134],"were":[135],"detected":[136],"find":[138],"lights":[140],"off.":[141],"Finally,":[142],"NT":[144],"effectiveness":[151],"proposed":[154,169],"methodology.":[155,200],"finds":[158],"achieved":[161],"mask":[163],"mAP":[164],"57.7%,":[166],"methodology":[170],"had":[171],"precision":[173],"30.8%":[175],"recall":[178],"28.3%.":[180],"main":[182],"goal":[183],"work":[186,196],"accomplished,":[188],"there":[190],"still":[192],"space":[193],"future":[195],"improve":[198]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
