{"id":"https://openalex.org/W4296819875","doi":"https://doi.org/10.1142/s021821302240022x","title":"A Robust LCSE-ResNet for Marine Man-made Target Classification Based on Optical Remote Sensing Imagery","display_name":"A Robust LCSE-ResNet for Marine Man-made Target Classification Based on Optical Remote Sensing Imagery","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4296819875","doi":"https://doi.org/10.1142/s021821302240022x"},"language":"en","primary_location":{"id":"doi:10.1142/s021821302240022x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821302240022x","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5020784091","display_name":"Zhenyu Han","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Han","raw_affiliation_strings":["Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028879945","display_name":"Jun Xing","orcid":"https://orcid.org/0009-0009-6417-9330"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xing","raw_affiliation_strings":["Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101532949","display_name":"Xinzhe Wang","orcid":"https://orcid.org/0009-0008-3855-9738"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhe Wang","raw_affiliation_strings":["Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Dalian Polytechnic University, No. 1 Qinggongyuan, Ganjingzi District, Dalian, 116034, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110523174","display_name":"Feiyang Xue","orcid":"https://orcid.org/0009-0004-2983-2422"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Xue","raw_affiliation_strings":["Faculty of Electronic Information Electrical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronic Information Electrical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116081, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089754208","display_name":"Jianchao Fan","orcid":"https://orcid.org/0000-0002-3121-9289"},"institutions":[{"id":"https://openalex.org/I4210114290","display_name":"China National Environmental Monitoring Center","ror":"https://ror.org/026drga03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210114290"]},{"id":"https://openalex.org/I4387156115","display_name":"National Marine Environmental Monitoring Center","ror":"https://ror.org/03eg88604","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387156115"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianchao Fan","raw_affiliation_strings":["Department of Marine Remote Sensing, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Shahekou District, Dalian, 116023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Marine Remote Sensing, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Shahekou District, Dalian, 116023, China","institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089754208"],"corresponding_institution_ids":["https://openalex.org/I4210114290","https://openalex.org/I4387156115"],"apc_list":null,"apc_paid":null,"fwci":0.5828,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63786888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"31","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9477999806404114,"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"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9477999806404114,"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"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9394999742507935,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9362999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8365017771720886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574893951416016},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5535613894462585},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.44564497470855713},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.445582777261734},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.44101274013519287},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4267650544643402},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40573224425315857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3777504563331604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2765647768974304},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24582210183143616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20347678661346436},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1795004904270172},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.16169336438179016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07502558827400208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365017771720886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574893951416016},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5535613894462585},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.44564497470855713},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.445582777261734},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.44101274013519287},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4267650544643402},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40573224425315857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3777504563331604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2765647768974304},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24582210183143616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20347678661346436},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1795004904270172},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.16169336438179016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07502558827400208},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021821302240022x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821302240022x","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2235808292","https://openalex.org/W1993658819","https://openalex.org/W2203795865","https://openalex.org/W160430195","https://openalex.org/W2809711602","https://openalex.org/W2787282005","https://openalex.org/W2059612401","https://openalex.org/W4312639664","https://openalex.org/W2979578032","https://openalex.org/W2156271305"],"abstract_inverted_index":{"It":[0,116],"is":[1,117],"of":[2,15,31,59,96,159,174],"great":[3],"need":[4],"to":[5,43,127],"accurately":[6],"locate":[7],"vessels":[8,160,194],"and":[9,49,82,100,135,156,161,191,195],"oil":[10,22,83,162,196],"platforms":[11,163],"because":[12],"huge":[13],"numbers":[14],"these":[16],"marine":[17,32,37,71,188],"man-made":[18,72,138,189],"targets":[19,33,190],"can":[20,141,185],"cause":[21],"spills":[23],"or":[24],"illegal":[25],"invasion":[26],"problems.":[27],"Many":[28],"different":[29],"types":[30],"in":[34,87,113,150,166],"the":[35,46,94,101,109,114,128,136,146,151,167,172,175,182],"complex":[36],"environment":[38],"make":[39],"it":[40],"very":[41],"difficult":[42],"deal":[44],"with":[45],"target":[47,73,130,139],"detection":[48],"classification":[50,74,110],"process":[51],"accurately.":[52],"This":[53],"paper":[54],"proposes":[55],"a":[56,118],"robust":[57,148],"Laplacian":[58,95],"Gaussian":[60,97],"operator":[61,99],"connected":[62,102],"domain":[63,103],"controller":[64],"squeeze":[65],"excitation":[66],"residual":[67],"network":[68],"(LCSE-ResNet)":[69],"for":[70],"based":[75],"on":[76],"optical":[77],"remote":[78,88,124],"sensing":[79,89,125],"imagery.":[80],"Vessel":[81],"platform":[84],"candidate":[85],"regions":[86],"images":[90,126],"are":[91,106,164],"extracted":[92],"by":[93],"(LoG)":[98],"controller,":[104],"which":[105,170],"input":[107],"into":[108],"neural":[111],"networks":[112],"following.":[115],"whole":[119],"End-to-End":[120],"structure":[121],"from":[122],"original":[123],"precise":[129],"information.":[131],"That":[132],"clouds,":[133],"ripples,":[134],"other":[137],"disturbances":[140],"be":[142],"excluded":[143],"effectively":[144,186,192],"means":[145],"better":[147],"character":[149],"actual":[152],"application.":[153],"Some":[154],"shape":[155],"size":[157],"features":[158],"considered":[165],"LCSE-ResNet":[168,184],"structure,":[169],"improves":[171],"explanation":[173],"final":[176],"results.":[177],"Experimental":[178],"results":[179],"demonstrate":[180],"that":[181],"proposed":[183],"detect":[187],"distinguish":[193],"platforms.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}