{"id":"https://openalex.org/W4393939028","doi":"https://doi.org/10.1007/s11554-024-01451-7","title":"SDPH: a new technique for spatial detection of path holes from huge volume high-resolution raster images in near real-time","display_name":"SDPH: a new technique for spatial detection of path holes from huge volume high-resolution raster images in near real-time","publication_year":2024,"publication_date":"2024-04-04","ids":{"openalex":"https://openalex.org/W4393939028","doi":"https://doi.org/10.1007/s11554-024-01451-7"},"language":"en","primary_location":{"id":"doi:10.1007/s11554-024-01451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01451-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01451-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007250047","display_name":"Murat Ta\u015fy\u00fcrek","orcid":"https://orcid.org/0000-0001-5623-8577"},"institutions":[{"id":"https://openalex.org/I4387154747","display_name":"Kayseri \u00dcniversitesi","ror":"https://ror.org/005zfy155","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154747"]},{"id":"https://openalex.org/I4210127232","display_name":"Kayseri E\u011fitim ve Ara\u015ft\u0131rma Hastanesi","ror":"https://ror.org/02ysppy04","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I4210127232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Tasyurek","raw_affiliation_strings":["Department of Computer Engineering, Kayseri University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kayseri University, Kayseri, Turkey","institution_ids":["https://openalex.org/I4210127232","https://openalex.org/I4387154747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007250047"],"corresponding_institution_ids":["https://openalex.org/I4210127232","https://openalex.org/I4387154747"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.9599,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86843037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"21","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.998199999332428,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9970999956130981,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.7709946632385254},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.7287853956222534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5984253883361816},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5379804372787476},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5078464150428772},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5009095668792725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48457157611846924},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4381019175052643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38355132937431335},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3730102777481079},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.30071452260017395},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12143588066101074}],"concepts":[{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.7709946632385254},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.7287853956222534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5984253883361816},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5379804372787476},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5078464150428772},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5009095668792725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48457157611846924},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4381019175052643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38355132937431335},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3730102777481079},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.30071452260017395},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12143588066101074},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11554-024-01451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01451-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11554-024-01451-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11554-024-01451-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11554-024-01451-7.pdf","source":{"id":"https://openalex.org/S11282291","display_name":"Journal of Real-Time Image Processing","issn_l":"1861-8200","issn":["1861-8200","1861-8219"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Real-Time Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393939028.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2018593740","https://openalex.org/W2029411275","https://openalex.org/W2036705578","https://openalex.org/W2051851375","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2151058599","https://openalex.org/W2194775991","https://openalex.org/W2238001452","https://openalex.org/W2287299127","https://openalex.org/W2343633363","https://openalex.org/W2557728737","https://openalex.org/W2570343428","https://openalex.org/W2587277634","https://openalex.org/W2891214000","https://openalex.org/W2891635869","https://openalex.org/W2897757621","https://openalex.org/W2928271762","https://openalex.org/W2952813363","https://openalex.org/W2963037989","https://openalex.org/W2964350391","https://openalex.org/W2973271139","https://openalex.org/W2985414621","https://openalex.org/W2990688916","https://openalex.org/W2998837918","https://openalex.org/W2999211502","https://openalex.org/W3039531289","https://openalex.org/W3048506315","https://openalex.org/W3105026501","https://openalex.org/W3120424088","https://openalex.org/W3120792785","https://openalex.org/W3121287041","https://openalex.org/W3124942917","https://openalex.org/W3137897392","https://openalex.org/W3157428835","https://openalex.org/W3168997536","https://openalex.org/W3174491732","https://openalex.org/W3196347879","https://openalex.org/W3199468499","https://openalex.org/W3200564606","https://openalex.org/W3207207011","https://openalex.org/W3210869680","https://openalex.org/W4205754345","https://openalex.org/W4210598935","https://openalex.org/W4220790466","https://openalex.org/W4224298786","https://openalex.org/W4280535562","https://openalex.org/W4281746957","https://openalex.org/W4283029931","https://openalex.org/W4285503496","https://openalex.org/W4310219844","https://openalex.org/W4313384379","https://openalex.org/W4360980068","https://openalex.org/W4362544997","https://openalex.org/W4376109301","https://openalex.org/W4379389673","https://openalex.org/W4385342336","https://openalex.org/W4388823657","https://openalex.org/W4389585396","https://openalex.org/W4391321251"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2002249536","https://openalex.org/W2768758348","https://openalex.org/W2029462932","https://openalex.org/W2911154362"],"abstract_inverted_index":{"Abstract":[0],"Detecting":[1],"and":[2,13,112,116,121,123,127,145,165,175,190,221,234,256,273,291],"repairing":[3],"road":[4,9,168,189,191],"defects":[5,274],"is":[6],"crucial":[7],"for":[8,50,133,188],"safety,":[10],"vehicle":[11,24],"maintenance,":[12],"enhancing":[14],"tourism":[15],"on":[16,245,286],"well-maintained":[17],"roads.":[18],"However,":[19],"monitoring":[20],"all":[21,296],"roads":[22,55],"by":[23,238],"incurs":[25],"high":[26],"costs.":[27],"With":[28],"the":[29,62,130,149,152,159,178,182,195,260,263,267,279],"widespread":[30],"use":[31],"of":[32,53,139,173,215,262,283],"remote":[33],"sensing":[34],"technologies,":[35],"high-resolution":[36,58],"satellite":[37,59,65,247],"images":[38,66,237,248],"offer":[39],"a":[40,46,70,95,105],"cost-effective":[41],"alternative.":[42],"This":[43],"study":[44],"proposes":[45],"new":[47],"technique,":[48,64],"SDPH,":[49],"automated":[51],"detection":[52,108,193],"damaged":[54],"from":[56,249],"vast,":[57],"images.":[60],"In":[61,224],"SDPH":[63,102,197,264],"are":[67,92],"organized":[68],"in":[69,94,129,177,194,275],"pyramid":[71],"grid":[72],"file":[73],"system,":[74],"allowing":[75],"deep":[76],"learning":[77],"methods":[78],"to":[79,158],"efficiently":[80],"process":[81],"them.":[82],"The":[83,101],"images,":[84],"generated":[85],"as":[86],"$$256\\times":[87],"256$$":[88],"<mml:math":[89],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mn>256</mml:mn><mml:mo>\u00d7</mml:mo><mml:mn>256</mml:mn></mml:mrow></mml:math>":[90],"dimensions,":[91],"stored":[93],"directory":[96],"with":[97,151,278],"explicit":[98],"location":[99],"information.":[100],"technique":[103],"employs":[104],"two-stage":[106],"object":[107],"models,":[109],"utilizing":[110],"classical":[111,199,203,207],"modified":[113,124,162,268],"RCNNv3,":[114,119,125,163,200,202],"YOLOv5,":[115,120,126,150,164,204,206],"YOLOv8.":[117],"Classical":[118],"YOLOv8":[122,128,166],"first":[131],"stage":[132,241],"identifying":[134],"roads,":[135],"achieving":[136,170],"f1":[137,154,171,213,281,289],"scores":[138,172,214,290],"0.743,":[140],"0.716,":[141],"0.710,":[142],"0.955,":[143],"0.958,":[144],"0.954,":[146],"respectively.":[147,223,243],"When":[148,181],"highest":[153],"score,":[155],"was":[156,186],"fed":[157],"second":[160,179],"stage;":[161],"detected":[167],"defects,":[169],"0.957,0.971":[174],"0.964":[176],"process.":[180],"same":[183],"CNN":[184],"model":[185],"used":[187],"defect":[192],"proposed":[196],"model,":[198],"improved":[201,205,209],"YOLOv8,":[208],"RCNNv8":[210],"achieved":[211],"micro":[212,280],"0.752,":[216],"0.956,":[217],"0.726,":[218],"0.969,":[219],"0.720":[220],"0.965,":[222],"addition,":[225],"these":[226],"models":[227],"processed":[228],"11,":[229],"10,":[230],"33,":[231],"31,":[232],"37,":[233],"36":[235],"FPS":[236],"performing":[239],"both":[240],"operations,":[242],"Evaluations":[244],"geotiff":[246],"Kayseri":[250],"Metropolitan":[251],"Municipality,":[252],"ranging":[253],"between":[254],"20":[255],"40":[257],"gigabytes,":[258],"demonstrated":[259],"efficiency":[261],"technique.":[265],"Notably,":[266],"YOLOv5":[269],"outperformed,":[270],"detecting":[271],"paths":[272],"0.032":[276],"s":[277],"score":[282],"0.969.":[284],"Fine-tuning":[285],"TileCache":[287],"enhanced":[288],"reduced":[292],"computational":[293],"costs":[294],"across":[295],"models.":[297]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}