{"id":"https://openalex.org/W2144999986","doi":"https://doi.org/10.1109/tgrs.2008.923631","title":"An Automatic Bridge Detection Technique for Multispectral Images","display_name":"An Automatic Bridge Detection Technique for Multispectral Images","publication_year":2008,"publication_date":"2008-08-04","ids":{"openalex":"https://openalex.org/W2144999986","doi":"https://doi.org/10.1109/tgrs.2008.923631","mag":"2144999986"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2008.923631","doi":"https://doi.org/10.1109/tgrs.2008.923631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2008.923631","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5032604522","display_name":"D. Chaudhuri","orcid":"https://orcid.org/0000-0002-6895-456X","observed_orcids":["https://orcid.org/0000-0002-6895-456X"]},"institutions":[{"id":"https://openalex.org/I4210144350","display_name":"Defence Electronics Application Laboratory","ror":"https://ror.org/04qk3kg25","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210144350","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Chaudhuri","raw_affiliation_strings":["Defence Electronics Applications Laboratory, Dehradun, Uttarakhand, India","Defence Electron. Applic. Lab., Uttaranchal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Electronics Applications Laboratory, Dehradun, Uttarakhand, India","institution_ids":["https://openalex.org/I4210144350"]},{"raw_affiliation_string":"Defence Electron. Applic. Lab., Uttaranchal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056599026","display_name":"Ashok K. Samal","orcid":"https://orcid.org/0000-0002-4559-9454","observed_orcids":["https://orcid.org/0000-0002-4559-9454"]},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Samal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Nebraska, Lincolnshire, NE, USA","Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Nebraska, Lincolnshire, NE, USA","institution_ids":["https://openalex.org/I114395901"]},{"raw_affiliation_string":"Computer Science and Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.0603,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.9363233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"46","issue":"9","first_page":"2720","last_page":"2727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9868000149726868,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9868000149726868,"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":0.012799999676644802,"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/T13890","display_name":"Remote Sensing and Land Use","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bridge-detection","display_name":"bridge detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/multispectral-imagery","display_name":"multispectral imagery","score":0.7770000100135803},{"id":"https://openalex.org/keywords/land-cover-classification","display_name":"land cover classification","score":0.7559999823570251},{"id":"https://openalex.org/keywords/water-body-detection","display_name":"water body detection","score":0.6200000047683716},{"id":"https://openalex.org/keywords/river-extraction","display_name":"river extraction","score":0.765999972820282},{"id":"https://openalex.org/keywords/knowledge-based-recognition","display_name":"knowledge-based recognition","score":0.5690000057220459},{"id":"https://openalex.org/keywords/road-network-connectivity","display_name":"road connectivity","score":0.5529999732971191}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.833207368850708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553330659866333},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.661935031414032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170406341552734},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5375854969024658},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5253055691719055},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.519839346408844},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47699955105781555},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4713194966316223},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4683489203453064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45702147483825684},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.44911515712738037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4369139075279236},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4331832826137543},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40579500794410706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28654342889785767},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1633206605911255},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.108804851770401},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08925464749336243},{"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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2008.923631","doi":"https://doi.org/10.1109/tgrs.2008.923631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2008.923631","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.unl.edu:cseconfwork-1028","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.unl.edu/cseconfwork/29","pdf_url":null,"source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CSE Conference and Workshop Papers","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W9017676","https://openalex.org/W39408099","https://openalex.org/W247104752","https://openalex.org/W1488650253","https://openalex.org/W1597063083","https://openalex.org/W1987365705","https://openalex.org/W2000835227","https://openalex.org/W2002127300","https://openalex.org/W2020625726","https://openalex.org/W2136508730","https://openalex.org/W2138719385","https://openalex.org/W2142478749","https://openalex.org/W2143759722","https://openalex.org/W2152112852","https://openalex.org/W2169114713","https://openalex.org/W2306050440","https://openalex.org/W2326845319","https://openalex.org/W2495089196","https://openalex.org/W2603283561","https://openalex.org/W4233497883","https://openalex.org/W4285719527","https://openalex.org/W4292609923","https://openalex.org/W4300757388","https://openalex.org/W6600366475","https://openalex.org/W6601599318","https://openalex.org/W6680684001","https://openalex.org/W6723130191"],"related_works":["https://openalex.org/W2071641696","https://openalex.org/W2084345722","https://openalex.org/W2115834572","https://openalex.org/W7067789024","https://openalex.org/W2352785312","https://openalex.org/W2393193466","https://openalex.org/W2366182248","https://openalex.org/W2148218864","https://openalex.org/W2125440441","https://openalex.org/W2547053034"],"abstract_inverted_index":{"Extraction":[0],"of":[1,9,15,35,38,113,144,148,185,221],"features":[2,40],"from":[3,57,212],"images":[4,211],"has":[5,21,205,217],"been":[6,22,206],"a":[7,71,88,105,119,130,138,149,218],"goal":[8],"researchers":[10],"since":[11],"the":[12,33,76,110,127,142,145,154,183,196,213],"early":[13],"days":[14],"remote":[16],"sensing.":[17],"While":[18],"significant":[19],"progress":[20],"made":[23],"in":[24,32,99,202,236],"several":[25],"applications,":[26],"much":[27],"remains":[28],"to":[29],"be":[30],"done":[31],"area":[34],"accurate":[36],"identification":[37],"high-level":[39],"such":[41],"as":[42],"buildings":[43],"and":[44,93,115,134,141,173,192,208,234],"roads.":[45],"This":[46],"paper":[47,204],"presents":[48],"an":[49],"approach":[50,107,200,230],"for":[51],"detecting":[52],"bridges":[53,114],"over":[54],"water":[55,187],"bodies":[56],"multispectral":[58,61],"imagery.":[59],"The":[60,81,199,225],"image":[62,83,102],"is":[63,84,231],"first":[64],"classified":[65,82],"into":[66,87,165],"eight":[67],"land-cover":[68],"types":[69],"using":[70,104,118,129],"majority-must-be-granted":[72],"logic":[73],"based":[74,169],"on":[75,170,182],"multiseed":[77],"supervised":[78],"classification":[79],"technique.":[80],"then":[85,97,163],"categorized":[86],"trilevel":[89,101],"image:":[90],"water,":[91],"concrete,":[92],"background.":[94],"Bridges":[95],"are":[96,162,180],"recognized":[98],"this":[100,203,229],"by":[103],"knowledge-based":[106],"that":[108,216,228],"exploits":[109],"spatial":[111,146,219],"arrangement":[112],"their":[116,171,193],"surroundings":[117],"five-step":[120],"approach.":[121],"A":[122],"river":[123],"extraction":[124],"module":[125],"identifies":[126],"rivers":[128],"recursive":[131],"scanning":[132],"technique":[133],"geometric":[135,174],"constraints.":[136],"Using":[137],"neighborhood":[139],"operator":[140],"knowledge":[143],"dimensions":[147],"typical":[150],"bridge,":[151],"we":[152],"identify":[153],"possible":[155,166],"bridge":[156,160,167,178],"pixels.":[157],"These":[158],"potential":[159],"pixels":[161],"grouped":[164],"segments":[168,179],"connectivity":[172,194],"properties.":[175],"Finally,":[176],"these":[177],"verified":[181],"basis":[184],"directional":[186],"index":[188],"along":[189],"different":[190],"directions":[191],"with":[195,210],"road":[197],"segments.":[198],"proposed":[201],"implemented":[207],"tested":[209],"IRS-1C/1-D":[214],"satellite":[215],"resolution":[220],"23.5":[222,223],"m.":[224],"results":[226],"show":[227],"both":[232],"efficient":[233],"effective":[235],"extracting":[237],"bridges.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":9}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
