{"id":"https://openalex.org/W2901068348","doi":"https://doi.org/10.1109/igarss.2018.8517907","title":"A Priori-Knowledge Based Ship Cfar Detection and Determination Algorithm in Sar Imagery","display_name":"A Priori-Knowledge Based Ship Cfar Detection and Determination Algorithm in Sar Imagery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901068348","doi":"https://doi.org/10.1109/igarss.2018.8517907","mag":"2901068348"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5082959313","display_name":"Jiaqiu Ai","orcid":"https://orcid.org/0000-0001-7923-0172"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiaqiu Ai","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748471","display_name":"Xuezhi Yang","orcid":"https://orcid.org/0000-0002-2303-4858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuezhi Yang","raw_affiliation_strings":["Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028380070","display_name":"Zhihuo Xu","orcid":"https://orcid.org/0000-0002-5645-3610"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuo Xu","raw_affiliation_strings":["Radar and Image Research Group, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"Radar and Image Research Group, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021360648","display_name":"Ruitian Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruitian Tian","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082959313"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08038808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"701","last_page":"704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9986000061035156,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.8516491651535034},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8384552597999573},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8064267635345459},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7716464400291443},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6941655874252319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6342581510543823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5794175863265991},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5783807039260864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5629854202270508},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4969337284564972},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4689245820045471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45172280073165894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43630117177963257},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4229484498500824},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.21593967080116272},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06561064720153809}],"concepts":[{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.8516491651535034},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8384552597999573},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8064267635345459},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7716464400291443},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6941655874252319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342581510543823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794175863265991},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5783807039260864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5629854202270508},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4969337284564972},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4689245820045471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45172280073165894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43630117177963257},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4229484498500824},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.21593967080116272},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06561064720153809},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4399999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W142575998","https://openalex.org/W1930985770","https://openalex.org/W1996176293","https://openalex.org/W2049909233","https://openalex.org/W2057771708","https://openalex.org/W2089588733","https://openalex.org/W2117294245","https://openalex.org/W2129553449","https://openalex.org/W2601621731","https://openalex.org/W2770644646","https://openalex.org/W6605852207"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W3011102797","https://openalex.org/W2351401443","https://openalex.org/W4320921117","https://openalex.org/W1968850503","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2116961228","https://openalex.org/W1952514008"],"abstract_inverted_index":{"A":[0,48],"priori-knowledge":[1],"based":[2],"ship":[3],"CFAR":[4,22],"detection":[5,28,69],"and":[6,13,41,55,75],"determination":[7],"algorithm":[8,19,133],"is":[9,43,61,99,134,144],"proposed":[10],"in":[11,79,95,112],"medium":[12],"high":[14],"resolution":[15],"SAR":[16],"images.":[17],"The":[18,154],"first":[20],"runs":[21],"prescreening":[23],"to":[24],"get":[25],"the":[26,31,35,63,67,76,80,90,96,102,109,113,124,131,137,139,148,158],"coarse":[27,68],"result,":[29],"then":[30,107],"priori":[32],"knowledge":[33],"of":[34,92,126,130],"ships":[36],"such":[37],"as":[38,119],"area,":[39],"length":[40],"width":[42],"used":[44],"for":[45],"target":[46],"discrimination.":[47],"sliding":[49,81,97,114],"window":[50,64,82,98,115],"with":[51,71],"a":[52,56,72],"certain":[53,73],"size":[54],"bright":[57,77,93,103,110],"pixel":[58,104],"number":[59,91,105],"threshold":[60],"set,":[62],"slides":[65],"on":[66],"image":[70],"step,":[74],"pixels":[78,94,111],"are":[83],"determined":[84,118],"whether":[85],"targets":[86,149],"or":[87],"clutter.":[88],"If":[89],"larger":[100],"than":[101],"threshold,":[106],"all":[108],"will":[116],"be":[117,151],"targets,":[120],"otherwise":[121],"clutter;":[122],"finally,":[123],"Probability":[125],"False":[127],"Alarm":[128],"(PFA)":[129],"whole":[132],"deduced.":[135],"Using":[136],"algorithm,":[138],"false":[140],"alarm":[141],"rate":[142],"(FAR)":[143],"greatly":[145],"reduced":[146],"while":[147],"can":[150],"insured":[152],"detected.":[153],"simulation":[155],"results":[156],"prove":[157],"algorithm's":[159],"effectiveness.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}