{"id":"https://openalex.org/W2900898940","doi":"https://doi.org/10.1109/igarss.2018.8519259","title":"A Local Cfar Detector Based on Gray Intensity Correlation in Sar Imagery","display_name":"A Local Cfar Detector Based on Gray Intensity Correlation in Sar Imagery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900898940","doi":"https://doi.org/10.1109/igarss.2018.8519259","mag":"2900898940"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519259","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":"last","author":{"id":"https://openalex.org/A5035921680","display_name":"Yan He","orcid":"https://orcid.org/0000-0002-9882-351X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Yan","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing University of of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing University of of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":7,"citation_normalized_percentile":{"value":0.141253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"697","last_page":"700"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994999766349792,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9977999925613403,"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/clutter","display_name":"Clutter","score":0.8366063237190247},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.733341634273529},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7321246862411499},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6098740696907043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919685959815979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5872386693954468},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5324980020523071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45585334300994873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43090328574180603},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12476110458374023},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09586656093597412}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8366063237190247},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.733341634273529},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7321246862411499},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6098740696907043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919685959815979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5872386693954468},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5324980020523071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45585334300994873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43090328574180603},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12476110458374023},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09586656093597412}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519259","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W142575998","https://openalex.org/W1968632379","https://openalex.org/W2088167233","https://openalex.org/W2108349280","https://openalex.org/W2122314989","https://openalex.org/W2129553449","https://openalex.org/W2149492639","https://openalex.org/W2324539079","https://openalex.org/W2770644646","https://openalex.org/W6605852207"],"related_works":["https://openalex.org/W2388326001","https://openalex.org/W2115015615","https://openalex.org/W2351401443","https://openalex.org/W3011102797","https://openalex.org/W4320921117","https://openalex.org/W2431104759","https://openalex.org/W1649651896","https://openalex.org/W2317958419","https://openalex.org/W2116961228","https://openalex.org/W1952514008"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"local":[4,21,42,72,113],"CFAR":[5,53,147],"detector":[6,17,32],"based":[7],"on":[8],"gray":[9,26,59],"intensity":[10,60],"correlation":[11,27],"in":[12,28,70,80],"SAR":[13],"imagery.":[14],"The":[15,31],"new":[16],"comprehensively":[18],"uses":[19],"the":[20,24,37,45,51,57,68,71,81,84,95,98,104,130,137],"SCR":[22],"and":[23,112,120],"strong":[25],"ship":[29,121],"targets.":[30],"can":[33,116,125],"well":[34],"adapt":[35],"to":[36],"changing":[38],"background":[39,82,114],"by":[40,55,110],"using":[41,50,75],"SCR,":[43],"further,":[44],"detection":[46,54,140],"performance":[47],"improves":[48,142],"greatly":[49,118,143],"2D":[52,86],"modelling":[56],"joint":[58,87],"PDF":[61],"(JPDF)":[62],"of":[63,67,97,133,139],"neighbouring":[64],"pixel":[65],"pairs":[66],"clutter":[69,77,99],"window.":[73],"By":[74],"real":[76],"extraction":[78],"procedure":[79],"cell,":[83],"actual":[85],"Log-normal":[88],"distribution":[89],"is":[90],"precisely":[91],"modelled":[92],"which":[93],"fits":[94],"JPDF":[96],"well.":[100],"Using":[101],"this":[102],"detector,":[103],"false":[105,134],"alarm":[106,135],"rate":[107],"(FAR)":[108],"caused":[109],"speckle":[111],"non-homogeneity":[115],"be":[117,127],"reduced,":[119],"targets":[122],"too":[123],"close":[124],"also":[126],"detected.":[128],"Under":[129],"same":[131],"probability":[132,138],"(PFA),":[136],"(PD)":[141],"compared":[144],"with":[145],"conventional":[146],"detectors.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}