{"id":"https://openalex.org/W4402263896","doi":"https://doi.org/10.1109/igarss53475.2024.10641068","title":"Enhanced Maritime Monitoring Via Onboard Processing Of Raw Multi-Spectral Imagery by Deep Learning","display_name":"Enhanced Maritime Monitoring Via Onboard Processing Of Raw Multi-Spectral Imagery by Deep Learning","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402263896","doi":"https://doi.org/10.1109/igarss53475.2024.10641068"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5069462114","display_name":"Roberto Del Prete","orcid":"https://orcid.org/0000-0003-0810-4050"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Roberto Del Prete","raw_affiliation_strings":["University of Naples Federico II,Naples NA,Italy,80125"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II,Naples NA,Italy,80125","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021271315","display_name":"Gabriele Meoni","orcid":"https://orcid.org/0000-0001-9311-6392"},"institutions":[{"id":"https://openalex.org/I4210165017","display_name":"European Space Research Institute","ror":"https://ror.org/05vt9rv16","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2801994115","https://openalex.org/I4210165017"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Meoni","raw_affiliation_strings":["ESA-ESRIN,Frascati RM,Italy,00044"],"affiliations":[{"raw_affiliation_string":"ESA-ESRIN,Frascati RM,Italy,00044","institution_ids":["https://openalex.org/I4210165017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053934292","display_name":"Manuel Salvoldi","orcid":"https://orcid.org/0000-0001-5810-6156"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Manuel Salvoldi","raw_affiliation_strings":["Ben-Gurion University of the Negev,Israel,8499000"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,Israel,8499000","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017513884","display_name":"Domenico Barretta","orcid":"https://orcid.org/0000-0003-2649-8049"},"institutions":[{"id":"https://openalex.org/I197809005","display_name":"University of Campania \"Luigi Vanvitelli\"","ror":"https://ror.org/02kqnpp86","country_code":"IT","type":"education","lineage":["https://openalex.org/I197809005"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Barretta","raw_affiliation_strings":["University of Campania \"L. Vanvitelli\",Caserta CE,Italy,81031"],"affiliations":[{"raw_affiliation_string":"University of Campania \"L. Vanvitelli\",Caserta CE,Italy,81031","institution_ids":["https://openalex.org/I197809005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032122861","display_name":"Maria Daniela Graziano","orcid":"https://orcid.org/0000-0001-9260-6736"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Daniela Graziano","raw_affiliation_strings":["University of Naples Federico II,Naples NA,Italy,80125"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II,Naples NA,Italy,80125","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009020295","display_name":"Nicolas Long\u00e9p\u00e9","orcid":"https://orcid.org/0000-0002-6832-3274"},"institutions":[{"id":"https://openalex.org/I4210165017","display_name":"European Space Research Institute","ror":"https://ror.org/05vt9rv16","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2801994115","https://openalex.org/I4210165017"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicolas Long\u00e9p\u00e9","raw_affiliation_strings":["ESA-ESRIN,Frascati RM,Italy,00044"],"affiliations":[{"raw_affiliation_string":"ESA-ESRIN,Frascati RM,Italy,00044","institution_ids":["https://openalex.org/I4210165017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059392092","display_name":"Alfredo Renga","orcid":"https://orcid.org/0000-0002-1236-0594"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfredo Renga","raw_affiliation_strings":["University of Naples Federico II,Naples NA,Italy,80125"],"affiliations":[{"raw_affiliation_string":"University of Naples Federico II,Naples NA,Italy,80125","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5069462114"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":2.3358,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8885599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1713","last_page":"1717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.972599983215332,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.972599983215332,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/computer-science","display_name":"Computer science","score":0.6435248851776123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5988598465919495},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5858727693557739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4950937330722809},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.47216030955314636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3816034495830536},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1797562837600708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435248851776123},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5988598465919495},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5858727693557739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950937330722809},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.47216030955314636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3816034495830536},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1797562837600708},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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":14,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2968402026","https://openalex.org/W3113229535","https://openalex.org/W3145585052","https://openalex.org/W3172087149","https://openalex.org/W3211425198","https://openalex.org/W3211548086","https://openalex.org/W4312874813","https://openalex.org/W4320736626","https://openalex.org/W4324142521","https://openalex.org/W4377866084","https://openalex.org/W4387803530","https://openalex.org/W6804220196","https://openalex.org/W6852339887"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W3009238340","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"applications":[3],"on":[4,36,69,88,112],"Earth":[5],"Observation":[6],"(EO)":[7],"satellite":[8],"data,":[9],"such":[10],"as":[11],"those":[12],"for":[13,19],"vessel":[14],"detection,":[15],"are":[16],"gaining":[17],"attention":[18],"their":[20],"potential":[21],"to":[22,47],"meet":[23],"strict":[24],"bandwidth":[25],"and":[26,74],"latency":[27],"requirements.":[28],"While":[29],"traditional":[30],"on-ground":[31],"computing":[32,49],"pipelines":[33],"often":[34],"rely":[35],"heavy":[37],"post-processing,":[38],"implementing":[39],"these":[40],"techniques":[41],"onboard":[42,57],"satellites":[43],"is":[44,90],"challenging":[45],"due":[46],"limited":[48],"resources.":[50],"To":[51],"support":[52],"the":[53,64,81,113],"development":[54],"of":[55,66,92,110],"efficient":[56],"data":[58,71,97],"processing":[59],"strategies,":[60],"this":[61],"study":[62,78],"compares":[63],"performance":[65],"object":[67],"detection":[68],"raw":[70,96],"from":[72],"Sentinel-2":[73],"VEN\u03bcS":[75,114],"missions.":[76],"The":[77],"demonstrates":[79],"that":[80],"proposed":[82],"two-stage":[83],"approach":[84],"with":[85,98],"a":[86,105],"focus":[87],"efficiency":[89],"capable":[91],"identifying":[93],"vessels":[94],"in":[95],"minimal":[99],"pre-processing.":[100],"Specifically,":[101],"our":[102],"method":[103],"achieved":[104],"remarkable":[106],"Average":[107],"Precision":[108],"(AP)":[109],"0.841":[111],"dataset.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}