{"id":"https://openalex.org/W4312328537","doi":"https://doi.org/10.1109/igarss46834.2022.9884263","title":"A New Coarse-to-Fine Strategy for Bridge-Over-Water Detection","display_name":"A New Coarse-to-Fine Strategy for Bridge-Over-Water Detection","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312328537","doi":"https://doi.org/10.1109/igarss46834.2022.9884263"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884263","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5101688424","display_name":"Rui Tang","orcid":"https://orcid.org/0009-0001-2444-7494"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Tang","raw_affiliation_strings":["Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034852790","display_name":"Ganggang Dong","orcid":"https://orcid.org/0000-0002-1527-2426"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganggang Dong","raw_affiliation_strings":["Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078098754","display_name":"Junkun Yan","orcid":"https://orcid.org/0000-0002-3828-6812"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junkun Yan","raw_affiliation_strings":["Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"Xidian University,National Laboratory of Radar Signal Processing,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101688424"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.5711,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6496124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3548","last_page":"3551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9995999932289124,"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":0.9995999932289124,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9979000091552734,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/bounding-overwatch","display_name":"Bounding overwatch","score":0.7925556898117065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.777664303779602},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6789138913154602},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6329656839370728},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5930353403091431},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45683807134628296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44537925720214844},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4450821876525879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36901792883872986},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1221674382686615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10663658380508423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08570003509521484}],"concepts":[{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7925556898117065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777664303779602},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6789138913154602},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6329656839370728},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5930353403091431},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45683807134628296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44537925720214844},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4450821876525879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36901792883872986},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1221674382686615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10663658380508423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08570003509521484},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884263","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2090806160","https://openalex.org/W2143759722","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2804523038","https://openalex.org/W2963163009","https://openalex.org/W2966926453","https://openalex.org/W2967487473","https://openalex.org/W2968292493","https://openalex.org/W4297803092","https://openalex.org/W4304206535","https://openalex.org/W6766860876","https://openalex.org/W6776984768"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W2949303564","https://openalex.org/W2776054962","https://openalex.org/W4300812085","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287728368","https://openalex.org/W3039174484"],"abstract_inverted_index":{"Bridge-over-water":[0],"detection":[1,39,70,89],"plays":[2],"vital":[3],"role":[4],"in":[5,36,125],"both":[6],"civilian":[7],"and":[8,34,111],"military":[9],"applications.":[10],"Though":[11],"widely":[12],"studied":[13],"previously,":[14],"it":[15],"is":[16,22,41,79],"still":[17],"a":[18,27,58,72],"challenging":[19],"problem.":[20],"This":[21],"because":[23],"bridges":[24,65],"are":[25,91,122],"with":[26],"high":[28],"diversity":[29,84],"of":[30,48,85,128,141],"aspect":[31],"ratios,":[32],"shapes":[33],"orientations":[35],"practical.":[37],"The":[38,88,98,136],"performance":[40],"highly":[42],"dependent":[43],"on":[44,107],"the":[45,83,95,126,129,139,142],"annotation":[46],"accuracy":[47],"training":[49,127],"samples.":[50],"To":[51],"address":[52],"these":[53],"problems,":[54],"this":[55],"paper":[56],"proposes":[57],"new":[59,73],"coarse-to-fine":[60],"strategy":[61],"to":[62,81],"detect":[63],"oriented":[64,99,118],"over":[66],"water.":[67],"In":[68],"coarse":[69],"stage,":[71],"backbone":[74],"containing":[75],"modulated":[76],"deformable":[77],"convolution":[78],"developed":[80],"enrich":[82],"receptive":[86],"fields.":[87],"results":[90,137],"further":[92],"refined":[93],"by":[94],"prior":[96],"knowledge.":[97],"bounding":[100,119],"boxes":[101],"can":[102],"be":[103],"then":[104],"obtained":[105],"based":[106],"frequency":[108],"domain":[109],"analysis":[110],"edge":[112],"detection.":[113],"Different":[114],"from":[115],"previous":[116],"works,":[117],"box":[120],"annotaions":[121],"not":[123],"required":[124],"proposed":[130,143],"method.":[131,144],"Comparative":[132],"experiments":[133],"were":[134],"conducted.":[135],"demonstrate":[138],"effectiveness":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
