{"id":"https://openalex.org/W4200217296","doi":"https://doi.org/10.3390/rs13245163","title":"A scSE-LinkNet Deep Learning Model for Daytime Sea Fog Detection","display_name":"A scSE-LinkNet Deep Learning Model for Daytime Sea Fog Detection","publication_year":2021,"publication_date":"2021-12-20","ids":{"openalex":"https://openalex.org/W4200217296","doi":"https://doi.org/10.3390/rs13245163"},"language":"en","primary_location":{"id":"doi:10.3390/rs13245163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13245163","pdf_url":"https://www.mdpi.com/2072-4292/13/24/5163/pdf?version=1639995536","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/2072-4292/13/24/5163/pdf?version=1639995536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101717222","display_name":"Xiaofei Guo","orcid":"https://orcid.org/0000-0002-1257-8892"},"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":"Xiaofei Guo","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071852148","display_name":"Jianhua Wan","orcid":"https://orcid.org/0000-0002-2634-8588"},"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":"Jianhua Wan","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083392356","display_name":"Shanwei Liu","orcid":"https://orcid.org/0000-0002-5049-9394"},"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":"Shanwei Liu","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074514063","display_name":"Mingming Xu","orcid":"https://orcid.org/0000-0002-6758-9863"},"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":true,"raw_author_name":"Mingming Xu","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040357722","display_name":"Hui Sheng","orcid":"https://orcid.org/0000-0002-9933-1955"},"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":"Hui Sheng","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037464371","display_name":"Muhammad Yasir","orcid":"https://orcid.org/0000-0001-8842-3224"},"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":"Muhammad Yasir","raw_affiliation_strings":["College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074514063"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.163,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.75427459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"24","first_page":"5163","last_page":"5163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/remote-sensing","display_name":"Remote sensing","score":0.6137783527374268},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5539511442184448},{"id":"https://openalex.org/keywords/daytime","display_name":"Daytime","score":0.5157144665718079},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5136637091636658},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.4825577139854431},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4670756161212921},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4303133487701416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41394370794296265},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.41163116693496704},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.348173588514328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2947491407394409},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15197136998176575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11363276839256287},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07768318057060242},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.07034936547279358}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6137783527374268},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5539511442184448},{"id":"https://openalex.org/C162725370","wikidata":"https://www.wikidata.org/wiki/Q52643","display_name":"Daytime","level":2,"score":0.5157144665718079},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5136637091636658},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.4825577139854431},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4670756161212921},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4303133487701416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41394370794296265},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.41163116693496704},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.348173588514328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2947491407394409},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15197136998176575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11363276839256287},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07768318057060242},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.07034936547279358},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13245163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13245163","pdf_url":"https://www.mdpi.com/2072-4292/13/24/5163/pdf?version=1639995536","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:e19caa51a0da418082ad5f11a1cef616","is_oa":true,"landing_page_url":"https://doaj.org/article/e19caa51a0da418082ad5f11a1cef616","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 24, p 5163 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/24/5163/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13245163","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 13; Issue 24; Pages: 5163","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13245163","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13245163","pdf_url":"https://www.mdpi.com/2072-4292/13/24/5163/pdf?version=1639995536","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":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200217296.pdf","grobid_xml":"https://content.openalex.org/works/W4200217296.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1973593369","https://openalex.org/W1981392743","https://openalex.org/W2002515327","https://openalex.org/W2023902541","https://openalex.org/W2029275219","https://openalex.org/W2065607523","https://openalex.org/W2088940068","https://openalex.org/W2097803670","https://openalex.org/W2098152234","https://openalex.org/W2098289522","https://openalex.org/W2176412452","https://openalex.org/W2282150346","https://openalex.org/W2336270452","https://openalex.org/W2375749618","https://openalex.org/W2383688442","https://openalex.org/W2392362269","https://openalex.org/W2465808793","https://openalex.org/W2585626237","https://openalex.org/W2735039185","https://openalex.org/W2801271852","https://openalex.org/W2884561390","https://openalex.org/W2891190979","https://openalex.org/W2900733456","https://openalex.org/W2963420686","https://openalex.org/W2963794428","https://openalex.org/W2970971581","https://openalex.org/W2971543677","https://openalex.org/W2982168614","https://openalex.org/W2991900848","https://openalex.org/W2997394725","https://openalex.org/W3006054280","https://openalex.org/W3024593542","https://openalex.org/W3090348114","https://openalex.org/W3105636206","https://openalex.org/W3113184199","https://openalex.org/W3138681132","https://openalex.org/W3207769241","https://openalex.org/W4382897005","https://openalex.org/W6716145685","https://openalex.org/W6719617246","https://openalex.org/W7057727959","https://openalex.org/W7061867879"],"related_works":["https://openalex.org/W3081293791","https://openalex.org/W2072650855","https://openalex.org/W3108670580","https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W1986730386","https://openalex.org/W2956374172","https://openalex.org/W2043317507","https://openalex.org/W82438832","https://openalex.org/W4319837668"],"abstract_inverted_index":{"Sea":[0],"fog":[1,20,47,67,86,193],"is":[2,22,50],"a":[3,61,110,184],"precarious":[4],"weather":[5],"disaster":[6],"affecting":[7],"transportation":[8],"on":[9,128,137],"the":[10,15,30,82,97,129,138,143,177,191,199],"sea.":[11],"The":[12,124],"accuracy":[13],"of":[14,36,84,94,99,145,179,187],"threshold":[16],"method":[17,33],"for":[18,64],"sea":[19,66,85,192],"detection":[21,68,146,194],"limited":[23],"by":[24,53,88],"time":[25],"and":[26,42,49,55,77,91,132,156,165,175,202],"region.":[27],"In":[28],"comparison,":[29],"deep":[31],"learning":[32],"learns":[34],"features":[35,83],"objects":[37],"through":[38],"different":[39],"network":[40],"layers":[41],"can":[43],"therefore":[44],"accurately":[45],"extract":[46],"data":[48,87,102,201],"less":[51],"affected":[52],"temporal":[54],"spatial":[56,92],"factors.":[57],"This":[58],"study":[59],"proposes":[60],"scSE-LinkNet":[62,125,180],"model":[63],"daytime":[65],"that":[69],"leverages":[70],"residual":[71],"blocks":[72],"to":[73,80],"encoder":[74],"feature":[75],"maps":[76],"attention":[78],"module":[79],"learn":[81],"considering":[89],"spectral":[90],"information":[93],"nodes.":[95],"With":[96],"help":[98],"satellite":[100],"radar":[101],"from":[103,116],"Cloud-Aerosol":[104],"Lidar":[105],"with":[106,169,183,198],"Orthogonal":[107],"Polarization":[108],"(CALIOP),":[109],"ground":[111],"sample":[112],"database":[113],"was":[114,126,135,181],"extracted":[115],"Moderate":[117],"Resolution":[118],"Imaging":[119],"Spectroradiometer":[120],"(MODIS)":[121],"L1B":[122],"data.":[123],"trained":[127],"training":[130],"set,":[131],"quantitative":[133],"evaluation":[134],"performed":[136],"test":[139],"set.":[140],"Results":[141],"showed":[142],"probability":[144],"(POD),":[147],"false":[148],"alarm":[149],"rate":[150],"(FAR),":[151],"critical":[152],"success":[153],"index":[154],"(CSI),":[155],"Heidke":[157],"skill":[158],"scores":[159],"(HSS)":[160],"were":[161,196],"0.924,":[162],"0.143,":[163],"0.800,":[164],"0.864,":[166],"respectively.":[167],"Compared":[168],"other":[170],"neural":[171],"networks":[172],"(FCN,":[173],"U-Net,":[174],"LinkNet),":[176],"CSI":[178],"improved,":[182],"maximum":[185],"increase":[186],"nearly":[188],"8%.":[189],"Moreover,":[190],"results":[195],"consistent":[197],"measured":[200],"CALIOP":[203],"products.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
