{"id":"https://openalex.org/W1974512225","doi":"https://doi.org/10.1117/12.2029153","title":"A new detection method of oil rigs in SAR imagery","display_name":"A new detection method of oil rigs in SAR imagery","publication_year":2013,"publication_date":"2013-10-17","ids":{"openalex":"https://openalex.org/W1974512225","doi":"https://doi.org/10.1117/12.2029153","mag":"1974512225"},"language":"en","primary_location":{"id":"doi:10.1117/12.2029153","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2029153","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5102021078","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-0829-9049"},"institutions":[{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Chen","raw_affiliation_strings":["The Second Institute of Oceanography, SOA (China)"],"affiliations":[{"raw_affiliation_string":"The Second Institute of Oceanography, SOA (China)","institution_ids":["https://openalex.org/I4210109544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017102760","display_name":"Jingsong Yang","orcid":"https://orcid.org/0000-0002-7514-3212"},"institutions":[{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsong Yang","raw_affiliation_strings":["The Second Institute of Oceanography, SOA (China)"],"affiliations":[{"raw_affiliation_string":"The Second Institute of Oceanography, SOA (China)","institution_ids":["https://openalex.org/I4210109544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091380497","display_name":"Lin Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ren","raw_affiliation_strings":["The Second Institute of Oceanography, SOA (China)"],"affiliations":[{"raw_affiliation_string":"The Second Institute of Oceanography, SOA (China)","institution_ids":["https://openalex.org/I4210109544"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102021078"],"corresponding_institution_ids":["https://openalex.org/I4210109544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05444785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8891","issue":null,"first_page":"88910P","last_page":"88910P"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.7570990920066833},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6777334213256836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6640483736991882},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6266928315162659},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.6214948892593384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165345907211304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5644438862800598},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5190039873123169},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.43340200185775757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41153183579444885},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37487632036209106},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1766313910484314}],"concepts":[{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.7570990920066833},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6777334213256836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640483736991882},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6266928315162659},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6214948892593384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165345907211304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5644438862800598},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5190039873123169},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.43340200185775757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41153183579444885},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37487632036209106},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1766313910484314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2029153","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2029153","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338152","display_name":"Second Institute of Oceanography, State Oceanic Administration","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2036210279"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2388326001","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"It's":[0],"difficult":[1],"for":[2],"simple":[3],"space-borne":[4],"SAR":[5,14,25,41],"to":[6,43,75,87],"identify":[7],"oil":[8,19,46,78],"rigs":[9],"effectively":[10],"in":[11,102],"single":[12],"pass":[13],"image.":[15],"One":[16],"method":[17],"of":[18,62,91],"rig":[20],"detection":[21,101],"is":[22,73,85,107],"using":[23,59],"multi-temporal":[24],"images.":[26],"Some":[27],"papers":[28],"had":[29],"do":[30],"some":[31],"research":[32],"on":[33],"it.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"use":[39],"interferometry":[40],"image":[42,53,106],"detect":[44,76],"the":[45,50,55,60,77,89,103],"rigs.":[47,79],"We":[48],"get":[49,88],"correlation":[51,63],"coefficient":[52,64,105],"from":[54],"In-SAR":[56],"data,":[57],"and":[58],"histogram":[61],"image,":[65],"A":[66],"Constant":[67],"False":[68],"Alarm":[69],"Rate":[70],"(CFAR)":[71],"algorithm":[72],"imported":[74],"The":[80,93],"Probabilistic":[81],"Neural":[82],"Network":[83],"(PNN)":[84],"used":[86],"threshold":[90],"detection.":[92],"test":[94],"result":[95],"shows":[96],"that":[97],"sea":[98],"coherent":[99,104],"target":[100],"efficacious.":[108]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}