{"id":"https://openalex.org/W4312705958","doi":"https://doi.org/10.1109/igarss46834.2022.9884410","title":"Bridge Detection in Polarimetric SAR Images Based on Water Network Construction","display_name":"Bridge Detection in Polarimetric SAR Images Based on Water Network Construction","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312705958","doi":"https://doi.org/10.1109/igarss46834.2022.9884410"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884410","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/A5100373937","display_name":"Chun Liu","orcid":"https://orcid.org/0009-0008-0577-6461"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun Liu","raw_affiliation_strings":["School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072"],"affiliations":[{"raw_affiliation_string":"School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665409","display_name":"Yanting Wang","orcid":"https://orcid.org/0000-0001-5543-244X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Wang","raw_affiliation_strings":["School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072"],"affiliations":[{"raw_affiliation_string":"School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025529350","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0002-8304-9947"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072"],"affiliations":[{"raw_affiliation_string":"School of Software Northwestern Polytechnical University,Xi&#x0027;an,China,710072","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100373937"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4481,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57481363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"45","issue":null,"first_page":"7879","last_page":"7882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7273489236831665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102153301239014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6042451858520508},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5843063592910767},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5591666102409363},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5379289984703064},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5252054333686829},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.46653157472610474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46397146582603455},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43340083956718445},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4246547818183899},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.42009884119033813},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4172561764717102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3498237729072571},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1389661729335785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12402012944221497}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7273489236831665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102153301239014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6042451858520508},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5843063592910767},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5591666102409363},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5379289984703064},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5252054333686829},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.46653157472610474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46397146582603455},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43340083956718445},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4246547818183899},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.42009884119033813},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4172561764717102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3498237729072571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1389661729335785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12402012944221497},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884410","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":0.8399999737739563,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G2433365333","display_name":null,"funder_award_id":"62101456,62002293","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8101924655","display_name":null,"funder_award_id":"D5000210752,D5000210753","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2144572173","https://openalex.org/W2144999986","https://openalex.org/W2165544906","https://openalex.org/W2373716797","https://openalex.org/W2900270799"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W2161058488","https://openalex.org/W2324949438","https://openalex.org/W173514170","https://openalex.org/W2389173272","https://openalex.org/W2939295242","https://openalex.org/W2032438448"],"abstract_inverted_index":{"A":[0],"bridge":[1,65],"detection":[2,109],"method":[3,107],"in":[4,25,96],"polarimetric":[5],"synthetic":[6],"aperture":[7],"radar":[8],"(SAR)":[9],"image":[10],"based":[11],"on":[12],"water":[13,32,49],"network":[14,33],"construction":[15],"using":[16,42],"the":[17,31,38,56,64,71,75,83,86,106],"graph":[18,58],"model":[19,59],"of":[20,30,60,74,85],"Markov":[21,61,87],"tree":[22],"is":[23,98],"proposed":[24],"this":[26],"paper.":[27],"First,":[28],"branches":[29,50],"are":[34,51,67,80],"extracted":[35],"by":[36,54,69,82,93],"segmenting":[37],"sea":[39],"and":[40,111],"land":[41],"region-based":[43],"level":[44],"set":[45],"segmentation":[46],"method.":[47,118],"All":[48],"then":[52],"connected":[53],"establishing":[55],"probabilistic":[57],"tree.":[62,88],"Finally,":[63],"bodies":[66],"recognized":[68],"merging":[70],"two":[72],"contours":[73],"adjacent":[76],"branch":[77],"pairs,":[78],"which":[79],"represented":[81],"edge":[84],"Polarimetric":[89],"SAR":[90],"data":[91],"acquired":[92],"RADARSAT-2":[94],"covered":[95],"Singapore":[97],"used":[99],"for":[100],"testing.":[101],"Experimental":[102],"results":[103],"show":[104],"that":[105],"improves":[108],"rate":[110],"false":[112],"alarm":[113],"compared":[114],"to":[115],"a":[116],"traditional":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
