{"id":"https://openalex.org/W4387802101","doi":"https://doi.org/10.1109/igarss52108.2023.10282321","title":"Oil Spills and Emulsions Identification Using Random Forest Model","display_name":"Oil Spills and Emulsions Identification Using Random Forest Model","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802101","doi":"https://doi.org/10.1109/igarss52108.2023.10282321"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100715193","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-8096-4082"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005437758","display_name":"Junfang Yang","orcid":"https://orcid.org/0000-0002-4582-1852"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfang Yang","raw_affiliation_strings":["China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604077","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-9971-2371"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210114556","display_name":"First Institute of Oceanography","ror":"https://ror.org/01y34t753","country_code":"CN","type":"facility","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210114556","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580","First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China University of Petroleum,College of Oceanography and Space Informatics,Qingdao,China,266580","institution_ids":["https://openalex.org/I4210162190"]},{"raw_affiliation_string":"First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China","institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210114556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9608,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84396259,"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":"7594","last_page":"7597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"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/T10122","display_name":"Toxic Organic Pollutants Impact","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9731000065803528,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8884296417236328},{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.7673282623291016},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7195687890052795},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6501265168190002},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6344053149223328},{"id":"https://openalex.org/keywords/oil-pollution","display_name":"Oil pollution","score":0.521824300289154},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5100544095039368},{"id":"https://openalex.org/keywords/pollution","display_name":"Pollution","score":0.4963417649269104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47759175300598145},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47151339054107666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31460779905319214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19114065170288086},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.14769738912582397},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13561618328094482}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8884296417236328},{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.7673282623291016},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7195687890052795},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6501265168190002},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6344053149223328},{"id":"https://openalex.org/C2982806110","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil pollution","level":2,"score":0.521824300289154},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5100544095039368},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.4963417649269104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47759175300598145},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47151339054107666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31460779905319214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19114065170288086},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.14769738912582397},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13561618328094482},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10282321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8799999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2005902297","https://openalex.org/W2006943967","https://openalex.org/W2073363743","https://openalex.org/W2136253307","https://openalex.org/W2937638900","https://openalex.org/W2979539276","https://openalex.org/W3023065102","https://openalex.org/W3080370723","https://openalex.org/W3105005050","https://openalex.org/W4210287377"],"related_works":["https://openalex.org/W2027794090","https://openalex.org/W2377149574","https://openalex.org/W2018428226","https://openalex.org/W168466688","https://openalex.org/W2348528083","https://openalex.org/W1975007161","https://openalex.org/W4225602447","https://openalex.org/W2972924646","https://openalex.org/W2058630112","https://openalex.org/W2779635005"],"abstract_inverted_index":{"Accurately":[0],"identifying":[1],"oil":[2,14,47,69,79,103,143],"spills":[3,70,144],"and":[4,37,71,94,104,118,145],"their":[5,72,146],"emulsions":[6,106],"is":[7,83,125,139],"significant":[8],"to":[9,53,127,141],"the":[10,21,43,56,60,77,87,98,119,129,134],"emergency":[11],"treatment":[12],"of":[13,23,45,59,101],"spill":[15,48,80],"pollution.":[16],"Hyperspectral":[17],"remote":[18],"sensing":[19],"has":[20,38],"advantage":[22],"high":[24],"spectral":[25,61,99,110],"resolution,":[26],"which":[27],"can":[28],"effectively":[29],"identify":[30,68,142],"subtle":[31],"differences":[32],"between":[33],"different":[34],"ground":[35],"features,":[36],"been":[39],"widely":[40],"used":[41,126,140],"in":[42],"identification":[44],"marine":[46],"pollution":[49],"types.":[50],"In":[51,74],"order":[52],"verify":[54],"whether":[55],"dimension":[57],"reduction":[58],"feature":[62,111],"bands":[63,112],"with":[64,113],"strong":[65,114],"separability":[66,115],"helps":[67],"emulsions.":[73,147],"this":[75,132],"paper,":[76],"outdoor":[78],"simulation":[81],"experiment":[82],"designed.":[84],"Based":[85],"on":[86],"measured":[88],"Analytical":[89],"Spectral":[90],"Devices":[91],"(ASD)":[92],"data":[93],"airborne":[95],"hyperspectral":[96],"data,":[97],"characteristics":[100],"crude":[102],"its":[105],"are":[107,116],"analyzed.":[108],"The":[109],"selected,":[117],"Principal":[120],"Component":[121],"Analysis":[122],"(PCA)":[123],"method":[124],"reduce":[128],"dimension.":[130],"On":[131],"basis,":[133],"Random":[135],"Forest":[136],"(RF)":[137],"model":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
