{"id":"https://openalex.org/W4382066040","doi":"https://doi.org/10.3390/rs15133242","title":"Vehicle Target Detection Method for Wide-Area SAR Images Based on Coarse-Grained Judgment and Fine-Grained Detection","display_name":"Vehicle Target Detection Method for Wide-Area SAR Images Based on Coarse-Grained Judgment and Fine-Grained Detection","publication_year":2023,"publication_date":"2023-06-23","ids":{"openalex":"https://openalex.org/W4382066040","doi":"https://doi.org/10.3390/rs15133242"},"language":"en","primary_location":{"id":"doi:10.3390/rs15133242","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133242","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3242/pdf?version=1687933796","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/13/3242/pdf?version=1687933796","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102937632","display_name":"Yucheng Song","orcid":"https://orcid.org/0000-0003-0949-1961"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Song","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639215","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-1390-9219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuo Wang","raw_affiliation_strings":["Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112946141","display_name":"Hongbin Mu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbin Mu","raw_affiliation_strings":["Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053931437","display_name":"Ruyi Feng","orcid":"https://orcid.org/0000-0002-5709-690X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyi Feng","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419137","display_name":"Tian Tian","orcid":"https://orcid.org/0000-0003-0148-4900"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Tian","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108582091","display_name":"Jinwen Tian","orcid":"https://orcid.org/0000-0001-8506-916X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Tian","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100419137"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.7795,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87091429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"13","first_page":"3242","last_page":"3242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8301695585250854},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6821624040603638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303274989128113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4612862169742584},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4273260235786438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301695585250854},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6821624040603638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303274989128113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4612862169742584},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4273260235786438},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15133242","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133242","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3242/pdf?version=1687933796","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2d3f493bbb72450eb4fc2c8df2ddffd1","is_oa":true,"landing_page_url":"https://doaj.org/article/2d3f493bbb72450eb4fc2c8df2ddffd1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 13, p 3242 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/13/3242/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15133242","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 13; Pages: 3242","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15133242","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133242","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3242/pdf?version=1687933796","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6458368327","display_name":null,"funder_award_id":"6142113210310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8267244009","display_name":null,"funder_award_id":"4207133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8393590882","display_name":null,"funder_award_id":"42071339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382066040.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1566144858","https://openalex.org/W1903029394","https://openalex.org/W1968632379","https://openalex.org/W2128272608","https://openalex.org/W2137887410","https://openalex.org/W2144150246","https://openalex.org/W2160445017","https://openalex.org/W2165616753","https://openalex.org/W2193145675","https://openalex.org/W2410591237","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2752782242","https://openalex.org/W2762294195","https://openalex.org/W2765711406","https://openalex.org/W2770644646","https://openalex.org/W2800701231","https://openalex.org/W2804145004","https://openalex.org/W2884585870","https://openalex.org/W2901919361","https://openalex.org/W2904480641","https://openalex.org/W2945014618","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2990641522","https://openalex.org/W3012162230","https://openalex.org/W3035473155","https://openalex.org/W3035694605","https://openalex.org/W3106250896","https://openalex.org/W3111765632","https://openalex.org/W3127275778","https://openalex.org/W3130415882","https://openalex.org/W3176659256","https://openalex.org/W3177052299","https://openalex.org/W4293584584","https://openalex.org/W4364368505","https://openalex.org/W6620707391","https://openalex.org/W6642460114","https://openalex.org/W6683383748"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"The":[0,141],"detection":[1,33,72,80,95,117],"of":[2,22,53,115,130,152,168,191],"vehicle":[3,55,79,156,170],"targets":[4,56,157,171],"in":[5,26,38,57,154,158,172,195],"wide-area":[6,58,159,173],"Synthetic":[7],"Aperture":[8],"Radar":[9],"(SAR)":[10],"images":[11,41,60],"is":[12,82,99],"crucial":[13],"for":[14],"real-time":[15,183],"reconnaissance":[16,184],"tasks":[17,185],"and":[18,28,42,61,93,97,104,176,186],"the":[19,51,113,116,128,134,145,166,178,188],"widespread":[20,189],"application":[21,190],"remote":[23,192],"sensing":[24,193],"technology":[25,194],"military":[27],"civilian":[29],"fields.":[30,197],"However,":[31],"existing":[32],"methods":[34],"often":[35],"face":[36],"difficulties":[37],"handling":[39],"large-scale":[40],"achieving":[43],"high":[44,150],"accuracy.":[45],"In":[46],"this":[47],"study,":[48],"we":[49],"address":[50],"challenges":[52,167],"detecting":[54,169],"SAR":[59,122,136,160,174],"propose":[62],"a":[63,87,149],"novel":[64],"method":[65,147,163],"that":[66,144],"combines":[67],"coarse-grained":[68,105],"judgment":[69],"with":[70,101],"fine-grained":[71],"to":[73,180],"overcome":[74],"these":[75],"challenges.":[76],"Our":[77,162],"proposed":[78,146],"model":[81,132],"based":[83],"on":[84],"YOLOv5,":[85],"featuring":[86],"CAM":[88],"attention":[89],"module,":[90],"CAM-FPN":[91],"network,":[92],"decoupled":[94],"head,":[96],"it":[98],"strengthened":[100],"background-assisted":[102],"supervision":[103],"judgment.":[106],"These":[107],"various":[108,196],"techniques":[109],"not":[110],"only":[111],"improve":[112],"accuracy":[114,153],"algorithms,":[118],"but":[119],"also":[120],"enhance":[121,182],"image":[123],"processing":[124],"speed.":[125],"We":[126],"evaluate":[127],"performance":[129],"our":[131],"using":[133],"Wide-area":[135],"Vehicle":[137],"Detection":[138],"(WSVD)":[139],"dataset.":[140],"results":[142],"demonstrate":[143],"achieves":[148],"level":[151],"identifying":[155],"images.":[161],"effectively":[164],"addresses":[165],"images,":[175],"has":[177],"potential":[179],"significantly":[181],"promote":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
