{"id":"https://openalex.org/W4323666915","doi":"https://doi.org/10.3390/rs15061496","title":"Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach","display_name":"Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4323666915","doi":"https://doi.org/10.3390/rs15061496"},"language":"en","primary_location":{"id":"doi:10.3390/rs15061496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061496","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1496/pdf?version=1679017727","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/6/1496/pdf?version=1679017727","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080387841","display_name":"Patr\u00edcia Carneiro Genovez","orcid":"https://orcid.org/0000-0001-8616-8645"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Patr\u00edcia Carneiro Genovez","raw_affiliation_strings":["Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023691949","display_name":"Francisco F\u00e1bio de Ara\u00fajo Ponte","orcid":"https://orcid.org/0000-0001-8506-3470"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco F\u00e1bio de Ara\u00fajo Ponte","raw_affiliation_strings":["Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071021111","display_name":"\u00cdtalo de Oliveira Matias","orcid":"https://orcid.org/0000-0001-6683-5287"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00cdtalo de Oliveira Matias","raw_affiliation_strings":["Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072678194","display_name":"Sarah Barr\u00f3n Torres","orcid":null},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontifical Catholic University of Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sarah Barr\u00f3n Torres","raw_affiliation_strings":["Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Software Engineering Laboratory (LES), Informatics Division, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), R. Marqu\u00eas de S\u00e3o Vicente, 225\u2014G\u00e1vea, Rio de Janeiro 22451-900, Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008520255","display_name":"Carlos Henrique Beisl","orcid":"https://orcid.org/0000-0002-0106-0633"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Henrique Beisl","raw_affiliation_strings":["GeoSpatial Petroleum, R. Miguel de Farias, 92, Icara\u00ed, Niter\u00f3i, Rio de Janeiro 24220-002, Brazil"],"affiliations":[{"raw_affiliation_string":"GeoSpatial Petroleum, R. Miguel de Farias, 92, Icara\u00ed, Niter\u00f3i, Rio de Janeiro 24220-002, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024775310","display_name":"Manlio Fernandes Mano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manlio Fernandes Mano","raw_affiliation_strings":["Oil Finder, R. Volunt\u00e1rios da P\u00e1tria, 48, Botafogo, Rio de Janeiro 22270-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Oil Finder, R. Volunt\u00e1rios da P\u00e1tria, 48, Botafogo, Rio de Janeiro 22270-000, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030594642","display_name":"Gil M\u00e1rcio Avelino Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]},{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gil M\u00e1rcio Avelino Silva","raw_affiliation_strings":["Petrobras Research, Development and Innovation Center (CENPES), Federal University of Rio de Janeiro, Av. Hor\u00e1cio Macedo 950, Cidade Universit\u00e1ria, Ilha do Fund\u00e3o, Rio de Janeiro 21941-915, Brazil"],"affiliations":[{"raw_affiliation_string":"Petrobras Research, Development and Innovation Center (CENPES), Federal University of Rio de Janeiro, Av. Hor\u00e1cio Macedo 950, Cidade Universit\u00e1ria, Ilha do Fund\u00e3o, Rio de Janeiro 21941-915, Brazil","institution_ids":["https://openalex.org/I32393484","https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101413611","display_name":"Fernando Pellon de Miranda","orcid":"https://orcid.org/0000-0002-8267-9357"},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]},{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Pellon de Miranda","raw_affiliation_strings":["Petrobras Research, Development and Innovation Center (CENPES), Federal University of Rio de Janeiro, Av. Hor\u00e1cio Macedo 950, Cidade Universit\u00e1ria, Ilha do Fund\u00e3o, Rio de Janeiro 21941-915, Brazil"],"affiliations":[{"raw_affiliation_string":"Petrobras Research, Development and Innovation Center (CENPES), Federal University of Rio de Janeiro, Av. Hor\u00e1cio Macedo 950, Cidade Universit\u00e1ria, Ilha do Fund\u00e3o, Rio de Janeiro 21941-915, Brazil","institution_ids":["https://openalex.org/I32393484","https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5080387841"],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9748,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.68740137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"6","first_page":"1496","last_page":"1496"},"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9725000262260437,"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/racing-slick","display_name":"Racing slick","score":0.861181378364563},{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.710122287273407},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7095375061035156},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6457656621932983},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5182200074195862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4981977939605713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49468061327934265},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4569845497608185},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43607741594314575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097154438495636},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.36470091342926025},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3601226210594177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31352734565734863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15623286366462708},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.10503038763999939}],"concepts":[{"id":"https://openalex.org/C50251070","wikidata":"https://www.wikidata.org/wiki/Q1888226","display_name":"Racing slick","level":3,"score":0.861181378364563},{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.710122287273407},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7095375061035156},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6457656621932983},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5182200074195862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4981977939605713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49468061327934265},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4569845497608185},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43607741594314575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097154438495636},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.36470091342926025},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3601226210594177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31352734565734863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15623286366462708},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.10503038763999939},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15061496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061496","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1496/pdf?version=1679017727","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:787daa94ccb54328a9f2b160895a6a2b","is_oa":true,"landing_page_url":"https://doaj.org/article/787daa94ccb54328a9f2b160895a6a2b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 6, p 1496 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/6/1496/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15061496","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 6; Pages: 1496","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15061496","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15061496","pdf_url":"https://www.mdpi.com/2072-4292/15/6/1496/pdf?version=1679017727","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7797021480","display_name":null,"funder_award_id":"2017/00777-6","funder_id":"https://openalex.org/F4320322468","funder_display_name":"Petrobras"}],"funders":[{"id":"https://openalex.org/F4320322468","display_name":"Petrobras","ror":"https://ror.org/0235kyq22"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323666915.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W121901878","https://openalex.org/W597317609","https://openalex.org/W1536609381","https://openalex.org/W1588282782","https://openalex.org/W1964309505","https://openalex.org/W1973178306","https://openalex.org/W1974284160","https://openalex.org/W1980298832","https://openalex.org/W1987656846","https://openalex.org/W1991200370","https://openalex.org/W1995721042","https://openalex.org/W2000175358","https://openalex.org/W2006706121","https://openalex.org/W2010128473","https://openalex.org/W2039329663","https://openalex.org/W2056885940","https://openalex.org/W2063907334","https://openalex.org/W2091675249","https://openalex.org/W2093865719","https://openalex.org/W2100540311","https://openalex.org/W2106969041","https://openalex.org/W2117404342","https://openalex.org/W2120708938","https://openalex.org/W2126408314","https://openalex.org/W2126906809","https://openalex.org/W2129782866","https://openalex.org/W2130903752","https://openalex.org/W2131953535","https://openalex.org/W2134346724","https://openalex.org/W2140705868","https://openalex.org/W2146362072","https://openalex.org/W2149149727","https://openalex.org/W2157762168","https://openalex.org/W2157817668","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2165744911","https://openalex.org/W2168809519","https://openalex.org/W2187203664","https://openalex.org/W2261059368","https://openalex.org/W2290669837","https://openalex.org/W2561467560","https://openalex.org/W2587991374","https://openalex.org/W2601474397","https://openalex.org/W2755842546","https://openalex.org/W2763736326","https://openalex.org/W2773539304","https://openalex.org/W2782219207","https://openalex.org/W2792174932","https://openalex.org/W2793927960","https://openalex.org/W2802420741","https://openalex.org/W2904546386","https://openalex.org/W2930743608","https://openalex.org/W2956636808","https://openalex.org/W2979040987","https://openalex.org/W3003157887","https://openalex.org/W3109296750","https://openalex.org/W3122521260","https://openalex.org/W3214109327","https://openalex.org/W4206617559","https://openalex.org/W4220932586","https://openalex.org/W4256084641","https://openalex.org/W4283012163","https://openalex.org/W4283752180","https://openalex.org/W4296851594","https://openalex.org/W6674939354","https://openalex.org/W6676215431","https://openalex.org/W6679170862","https://openalex.org/W6679734692","https://openalex.org/W6680597335","https://openalex.org/W6751139507"],"related_works":["https://openalex.org/W1972495039","https://openalex.org/W2374015869","https://openalex.org/W2120978485","https://openalex.org/W2003464559","https://openalex.org/W2072896758","https://openalex.org/W2548109117","https://openalex.org/W2469797871","https://openalex.org/W2564399592","https://openalex.org/W2545654206","https://openalex.org/W2070289690"],"abstract_inverted_index":{"The":[0],"development":[1],"and":[2,56,98,137,165,175,182,217,231,258,265,295,316],"application":[3],"of":[4,70,93,101,134,152,162,206,241,263,303],"predictive":[5,129],"models":[6,59,97,130,145,243,274],"to":[7,38,54,73,127,148,188,244,313],"distinguish":[8],"seepage":[9],"slicks":[10,124],"from":[11,95,120,276],"oil":[12,123,305,321],"spills":[13],"are":[14,84,178,184,195],"challenging,":[15],"since":[16],"Synthetic":[17],"Aperture":[18],"Radars":[19],"(SAR)":[20],"detect":[21],"these":[22,143,242],"events":[23,154],"as":[24,45,270,272],"dark":[25],"spots":[26],"on":[27],"the":[28,40,51,58,61,66,77,91,99,132,150,156,158,163,167,173,180,189,215,237,261,273,292,296,300,310],"sea":[29],"surface.":[30],"Traditional":[31],"Machine":[32],"Learning":[33,88],"(ML)":[34],"has":[35],"been":[36],"used":[37,126],"discriminate":[39],"Oil":[41],"Slick":[42],"Source":[43],"(OSS)":[44],"natural":[46],"or":[47],"anthropic":[48],"assuming":[49],"that":[50,290],"samples":[52,72],"employed":[53],"train":[55],"test":[57],"in":[60,76,108,131,155,166,214],"source":[62],"domain":[63,79],"(DS)":[64],"follow":[65],"same":[67],"statistical":[68],"distribution":[69],"unknown":[71,153],"be":[74],"predicted":[75],"target":[78],"(DT).":[80],"When":[81,172,278],"such":[82],"assumptions":[83],"not":[85],"held,":[86],"Transfer":[87],"(TL)":[89],"allows":[90],"extraction":[92],"knowledge":[94],"validated":[96,122,264],"prediction":[100,285],"new":[102,267,281],"samples,":[103,269],"thus":[104],"improving":[105],"performances":[106],"even":[107],"scenarios":[109],"never":[110],"seen":[111],"before.":[112],"A":[113],"database":[114],"with":[115],"26":[116],"geometric":[117,246],"features":[118],"extracted":[119],"6279":[121],"was":[125],"develop":[128],"Gulf":[133],"Mexico":[135],"(GoM)":[136],"its":[138],"Mexican":[139],"portion":[140,161],"(GMex).":[141],"Innovatively,":[142],"well-trained":[144],"were":[146],"applied":[147],"predict":[149],"OSS":[151],"GoM,":[157,164],"American":[159],"(GAm)":[160],"Brazilian":[168],"continental":[169],"margin":[170],"(BR).":[171],"DS":[174,216],"DT":[176,218],"domains":[177,194,225],"similar,":[179],"TL":[181,200,253],"generalization":[183,239],"null,":[185],"being":[186],"equivalent":[187],"usual":[190],"ML.":[191],"However,":[192],"when":[193,209],"different":[196,249],"but":[197],"statically":[198],"related,":[199],"outdoes":[201],"ML":[202],"(58.91%),":[203],"attaining":[204],"87%":[205],"global":[207],"accuracy":[208],"using":[210,252],"compatible":[211],"SAR":[212,222],"sensors":[213,223],"domains.":[219],"Conversely,":[220],"incompatible":[221],"produce":[224],"statistically":[226],"divergent,":[227],"causing":[228],"negative":[229],"transfers":[230],"generalizations.":[232],"From":[233],"an":[234,304],"operational":[235],"standpoint,":[236],"evidenced":[238],"capacity":[240],"recognize":[245],"patterns":[247],"across":[248],"geographic":[250],"regions":[251],"may":[254],"allow":[255],"saving":[256],"time":[257],"budget,":[259],"avoiding":[260],"collection":[262],"annotated":[266],"training":[268],"well":[271],"re-training":[275],"scratch.":[277],"looking":[279],"for":[280],"exploratory":[282],"frontiers,":[283],"automatic":[284],"is":[286],"a":[287],"value-added":[288],"product":[289],"strengthens":[291],"knowledge-driven":[293],"classifications":[294],"decision-making":[297],"processes.":[298],"Moreover,":[299],"prompt":[301],"identification":[302],"spill":[306],"can":[307],"speed":[308],"up":[309,315],"response":[311],"actions":[312],"clean":[314],"protect":[317],"sensitive":[318],"areas":[319],"against":[320],"pollution.":[322]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2023-03-10T00:00:00"}