{"id":"https://openalex.org/W7160926261","doi":"https://doi.org/10.48550/arxiv.2605.08781","title":"Contour-Native Bridge Defect Detection and Compact Digital Archiving with Frequency-Supervised Fourier Contours","display_name":"Contour-Native Bridge Defect Detection and Compact Digital Archiving with Frequency-Supervised Fourier Contours","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160926261","doi":"https://doi.org/10.48550/arxiv.2605.08781"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08781","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08781","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08781","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135925611","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-5922-6643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135971471","display_name":"Wang Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114234706","display_name":"Hongxu Pu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu, Hongxu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135921623","display_name":"Zhen Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Zhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135921529","display_name":"Yasong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yasong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135982633","display_name":"Hu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101672879","display_name":"Kunming Luo","orcid":"https://orcid.org/0000-0002-5070-7392"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Kunming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.6657999753952026,"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":0.6657999753952026,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.13339999318122864,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0471000000834465,"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":0.650600016117096},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6363999843597412},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5892999768257141},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.545799970626831},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5422999858856201},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.4722999930381775},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44290000200271606},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.44209998846054077}],"concepts":[{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376000046730042},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6363999843597412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6295999884605408},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5892999768257141},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.545799970626831},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5347999930381775},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.49959999322891235},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44290000200271606},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.44209998846054077},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.38989999890327454},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.34540000557899475},{"id":"https://openalex.org/C145406643","wikidata":"https://www.wikidata.org/wiki/Q2641959","display_name":"Raster scan","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3050999939441681},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.27570000290870667},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27459999918937683},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.258899986743927},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08781","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08781","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08781","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08781","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"AI-assisted":[0],"bridge":[1,67],"defect":[2,71],"inspection":[3],"often":[4],"produces":[5],"bounding":[6,96],"boxes":[7,97],"with":[8,69,95],"crude":[9],"geometry":[10,106],"or":[11],"raster":[12,99],"masks":[13],"that":[14],"are":[15],"costly":[16],"to":[17],"store,":[18],"transmit,":[19],"and":[20,53,57,78,87,98,112,118,131,135,143],"reuse.":[21],"This":[22],"study":[23,125],"investigates":[24],"how":[25],"detected":[26],"defects":[27],"can":[28],"be":[29],"represented":[30],"as":[31],"compact,":[32,110],"recoverable":[33],"contour-level":[34],"vector":[35],"records":[36,103],"in":[37,107],"image":[38],"space.":[39],"We":[40],"propose":[41],"Frequency-Supervised":[42],"Fourier":[43,50,101],"Series":[44],"Detection":[45],"(FS-FSD),":[46],"which":[47],"directly":[48],"regresses":[49],"contour":[51,88,102],"descriptors":[52],"evaluates":[54],"boxes,":[55],"masks,":[56,100],"contours":[58],"under":[59],"a":[60,108],"unified":[61],"polygon-space":[62,76],"protocol.":[63],"On":[64],"3,767":[65],"UAV-collected":[66],"images":[68],"42,346":[70],"instances,":[72],"FS-FSD":[73],"achieves":[74],"higher":[75],"accuracy":[77],"better":[79],"matched-TP":[80],"geometric":[81],"quality":[82],"than":[83],"representative":[84],"detection,":[85],"segmentation,":[86],"baselines.":[89],"These":[90],"results":[91],"show":[92],"that,":[93],"compared":[94],"preserve":[104],"defect-boundary":[105],"more":[109],"recoverable,":[111],"shareable":[113],"form":[114],"for":[115],"engineering":[116],"review":[117],"downstream":[119],"information":[120],"workflows.":[121],"Future":[122],"work":[123],"will":[124],"the":[126,137],"modeling":[127],"of":[128],"multi-region,":[129],"fragmented,":[130],"adjacent":[132],"bridge-defect":[133,141],"boundaries":[134],"extend":[136],"framework":[138],"toward":[139],"long-term":[140],"tracking":[142],"lifecycle-oriented":[144],"management.":[145]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}
