{"id":"https://openalex.org/W2548112025","doi":"https://doi.org/10.1109/igarss.2016.7729380","title":"Feature extraction and classification of ocean oil spill based on SAR image","display_name":"Feature extraction and classification of ocean oil spill based on SAR image","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548112025","doi":"https://doi.org/10.1109/igarss.2016.7729380","mag":"2548112025"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5046408141","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0003-2361-6521"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660685","display_name":"Xun Yang","orcid":"https://orcid.org/0000-0002-8495-0315"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Yang","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391303","display_name":"Yan Chen","orcid":"https://orcid.org/0009-0002-1110-5177"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017195934","display_name":"Ling Tong","orcid":"https://orcid.org/0000-0003-1883-7792"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Tong","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007019142","display_name":"Lei He","orcid":"https://orcid.org/0000-0002-9875-9853"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei He","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046408141"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.1445,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54704982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1488","last_page":"1491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9998999834060669,"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":0.9998999834060669,"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9721999764442444,"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"}},{"id":"https://openalex.org/T10995","display_name":"Methane Hydrates and Related Phenomena","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7344700694084167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538399457931519},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6486926078796387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647878885269165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6366057395935059},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5921125411987305},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5838949084281921},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5630466938018799},{"id":"https://openalex.org/keywords/otsus-method","display_name":"Otsu's method","score":0.5242007970809937},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5110141038894653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4728826880455017},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4671466052532196},{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.4285673499107361},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4247041642665863},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4193664789199829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41007161140441895},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32754796743392944}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7344700694084167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538399457931519},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6486926078796387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647878885269165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6366057395935059},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5921125411987305},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5838949084281921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5630466938018799},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.5242007970809937},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5110141038894653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4728826880455017},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4671466052532196},{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.4285673499107361},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4247041642665863},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4193664789199829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41007161140441895},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32754796743392944},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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/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/igarss.2016.7729380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1582562862","https://openalex.org/W2014076908","https://openalex.org/W2046132975","https://openalex.org/W2093865719","https://openalex.org/W2108395474","https://openalex.org/W2166995746","https://openalex.org/W6634870498"],"related_works":["https://openalex.org/W1608282063","https://openalex.org/W2361805396","https://openalex.org/W2389939771","https://openalex.org/W2972254340","https://openalex.org/W2130042159","https://openalex.org/W4390770175","https://openalex.org/W2003464559","https://openalex.org/W2120978485","https://openalex.org/W4210966920","https://openalex.org/W2550009779"],"abstract_inverted_index":{"The":[0],"detection":[1],"of":[2,64,82],"ocean":[3,83],"oil":[4,84],"spill":[5],"based":[6],"on":[7],"synthetic":[8],"aperture":[9],"radar":[10],"(SAR)":[11],"image":[12,48,60],"has":[13],"been":[14],"a":[15,24,62],"hot":[16],"topic":[17],"attracting":[18],"extensive":[19],"attention.":[20],"In":[21],"this":[22],"paper,":[23],"hybrid":[25],"scheme,":[26],"in":[27,47,56],"which":[28],"we":[29],"extract":[30],"feature":[31],"parameters":[32],"and":[33,51,69],"then":[34],"achieve":[35],"classification":[36,57],"as":[37],"follows,":[38],"is":[39,45,54,67],"presented.":[40],"Two-dimensional":[41],"(2-D)":[42],"Otsu":[43,73],"algorithm":[44,74],"applied":[46,55],"segmentation":[49],"process,":[50],"neural":[52],"network":[53],"course.":[58],"Before":[59],"segmentation,":[61],"sort":[63],"universal":[65],"processing":[66],"used,":[68],"it":[70],"enables":[71],"2-D":[72],"to":[75,79],"be":[76],"more":[77],"applicable":[78],"SAR":[80],"images":[81],"spill.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}