{"id":"https://openalex.org/W4386119833","doi":"https://doi.org/10.3390/rs15174146","title":"Lane Crack Detection Based on Saliency","display_name":"Lane Crack Detection Based on Saliency","publication_year":2023,"publication_date":"2023-08-24","ids":{"openalex":"https://openalex.org/W4386119833","doi":"https://doi.org/10.3390/rs15174146"},"language":"en","primary_location":{"id":"doi:10.3390/rs15174146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174146","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4146/pdf?version=1692861520","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/17/4146/pdf?version=1692861520","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080547312","display_name":"Shengyuan Zhang","orcid":"https://orcid.org/0000-0001-7138-4468"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyuan Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460014","display_name":"Zhongliang Fu","orcid":"https://orcid.org/0000-0003-4797-258X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongliang Fu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101695440","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-5865-5796"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111006598","display_name":"Aoxiang Liu","orcid":"https://orcid.org/0009-0000-8047-1192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aoxiang Liu","raw_affiliation_strings":["Henan Provincial Transportation Development Center, Zhengzhou 450016, China"],"affiliations":[{"raw_affiliation_string":"Henan Provincial Transportation Development Center, Zhengzhou 450016, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100460014"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6175,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6418136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"17","first_page":"4146","last_page":"4146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.646515965461731},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5836251974105835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.579247236251831},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5323410630226135},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5308234095573425},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4305501878261566},{"id":"https://openalex.org/keywords/threshold-limit-value","display_name":"Threshold limit value","score":0.41074472665786743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3262079358100891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646515965461731},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5836251974105835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579247236251831},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5323410630226135},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5308234095573425},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4305501878261566},{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.41074472665786743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3262079358100891},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15174146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174146","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4146/pdf?version=1692861520","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0a11e715b204a448aee08d84187d7fb","is_oa":true,"landing_page_url":"https://doaj.org/article/b0a11e715b204a448aee08d84187d7fb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 17, p 4146 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/17/4146/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15174146","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 17; Pages: 4146","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15174146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15174146","pdf_url":"https://www.mdpi.com/2072-4292/15/17/4146/pdf?version=1692861520","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386119833.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1982725007","https://openalex.org/W1999244633","https://openalex.org/W1999864197","https://openalex.org/W2104095591","https://openalex.org/W2109011174","https://openalex.org/W2290482718","https://openalex.org/W2407692387","https://openalex.org/W2523358814","https://openalex.org/W2586750457","https://openalex.org/W2588180165","https://openalex.org/W2598804554","https://openalex.org/W2799323087","https://openalex.org/W2799391334","https://openalex.org/W2806229851","https://openalex.org/W2809991812","https://openalex.org/W2883780447","https://openalex.org/W2890733150","https://openalex.org/W2912530595","https://openalex.org/W2913119512","https://openalex.org/W2943463746","https://openalex.org/W2963163009","https://openalex.org/W2970225046","https://openalex.org/W3000609350","https://openalex.org/W3040786507","https://openalex.org/W3042600082","https://openalex.org/W3168326173","https://openalex.org/W3194700752","https://openalex.org/W4212882302","https://openalex.org/W4226095742","https://openalex.org/W4307957701","https://openalex.org/W4313404424","https://openalex.org/W4317771274","https://openalex.org/W4364376158","https://openalex.org/W4375859027","https://openalex.org/W6639175563"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2067272521"],"abstract_inverted_index":{"Lane":[0],"cracks":[1,16,52,83,184,231],"are":[2],"one":[3],"of":[4,14,23,63,132,183,197,214,218,223],"the":[5,21,35,44,60,69,85,123,130,142,153,158,163,179,187,227],"biggest":[6],"threats":[7],"to":[8,33,42,78,150,177],"pavement":[9,57,233],"conditions.":[10],"The":[11,209],"automatic":[12],"detection":[13,108],"lane":[15],"can":[17,29,53],"not":[18],"only":[19],"assist":[20],"evaluation":[22],"road":[24,45],"quality":[25],"and":[26,47,81,93,100,161,181,204,220],"quantity":[27],"but":[28],"also":[30],"be":[31,54,167],"used":[32],"develop":[34],"best":[36],"crack":[37,64,107,118,138,211],"repair":[38],"plan,":[39],"so":[40],"as":[41,136],"keep":[43],"level":[46],"ensure":[48],"driving":[49],"safety.":[50],"Although":[51],"extracted":[55,156],"from":[56,84,97],"images":[58,87,189,198],"because":[59],"gray":[61,71],"intensity":[62],"pixels":[65],"is":[66,74,120,139,148,157],"lower":[67],"than":[68],"background":[70],"intensity,":[72],"it":[73],"still":[75],"a":[76,106,137,171],"challenge":[77],"extract":[79],"continuous":[80],"complete":[82,172],"three-lane":[86],"with":[88,110,199],"complex":[89],"texture,":[90],"high":[91],"noise,":[92,202],"uneven":[94],"illumination.":[95],"Different":[96],"threshold":[98],"segmentation":[99],"edge":[101],"detection,":[102],"this":[103],"study":[104],"designed":[105],"algorithm":[109],"dual":[111],"positioning.":[112],"An":[113],"image-enhancement":[114],"method":[115,165,228],"based":[116],"on":[117,127],"saliency":[119,131],"proposed":[121],"for":[122],"first":[124],"time.":[125],"Based":[126],"Bayesian":[128],"probability,":[129],"each":[133],"pixel":[134],"judged":[135],"calculated.":[140],"Then,":[141],"Fr\u00e9chet":[143],"distance":[144],"improvement":[145],"triangle":[146],"relationship":[147],"introduced":[149],"determine":[151],"whether":[152,162],"key":[154],"point":[155],"fracture":[159],"endpoint":[160],"fast-moving":[164],"should":[166],"terminated.":[168],"In":[169],"addition,":[170],"remote-sensing":[173],"process":[174],"was":[175],"developed":[176],"calculate":[178],"length":[180],"width":[182],"by":[185,191],"inverting":[186],"squint":[188],"collected":[190],"mobile":[192],"phones.":[193],"A":[194],"large":[195],"number":[196],"different":[200],"types,":[201],"illumination,":[203],"interference":[205],"conditions":[206],"were":[207],"tested.":[208],"average":[210],"extraction":[212],"accuracy":[213],"89.3%,":[215],"recall":[216],"rate":[217],"87.1%,":[219],"F1":[221],"value":[222],"88.2%":[224],"showed":[225],"that":[226],"could":[229],"detect":[230],"in":[232],"well.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}