{"id":"https://openalex.org/W3194469041","doi":"https://doi.org/10.3390/rs13163168","title":"Domain Adaptive Ship Detection in Optical Remote Sensing Images","display_name":"Domain Adaptive Ship Detection in Optical Remote Sensing Images","publication_year":2021,"publication_date":"2021-08-10","ids":{"openalex":"https://openalex.org/W3194469041","doi":"https://doi.org/10.3390/rs13163168","mag":"3194469041"},"language":"en","primary_location":{"id":"doi:10.3390/rs13163168","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163168","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3168/pdf?version=1628670375","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/2072-4292/13/16/3168/pdf?version=1628670375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101677110","display_name":"Linhao Li","orcid":"https://orcid.org/0000-0003-4732-5454"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhao Li","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029710781","display_name":"Zhiqiang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqiang Zhou","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408109","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-5596-1795"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348913","display_name":"Lingjuan Miao","orcid":"https://orcid.org/0000-0003-1782-4535"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjuan Miao","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025337029","display_name":"Zhe An","orcid":"https://orcid.org/0000-0002-4934-0589"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe An","raw_affiliation_strings":["State Key Laboratory of Advanced Power Transmission Technology, Global Energy Interconnection Research Institute Co., Ltd., Beijing 102209, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Advanced Power Transmission Technology, Global Energy Interconnection Research Institute Co., Ltd., Beijing 102209, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054654481","display_name":"Xiaowu Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowu Xiao","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029710781"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.6508,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.86044558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"13","issue":"16","first_page":"3168","last_page":"3168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer 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":0.8082451820373535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6541839838027954},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6431233286857605},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6386371850967407},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6072860956192017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5162215232849121},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4761519432067871},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.423387736082077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3662591874599457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33399224281311035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13095968961715698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082451820373535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541839838027954},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6431233286857605},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6386371850967407},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6072860956192017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5162215232849121},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4761519432067871},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.423387736082077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3662591874599457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33399224281311035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13095968961715698},{"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/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":3,"locations":[{"id":"doi:10.3390/rs13163168","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163168","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3168/pdf?version=1628670375","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:afe8b0e333fb4bfd8d77cd6e27ad5751","is_oa":true,"landing_page_url":"https://doaj.org/article/afe8b0e333fb4bfd8d77cd6e27ad5751","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 16, p 3168 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/16/3168/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13163168","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 16; Pages: 3168","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13163168","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13163168","pdf_url":"https://www.mdpi.com/2072-4292/13/16/3168/pdf?version=1628670375","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":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194469041.pdf","grobid_xml":"https://content.openalex.org/works/W3194469041.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2061200049","https://openalex.org/W2100503224","https://openalex.org/W2128053425","https://openalex.org/W2163605009","https://openalex.org/W2182758019","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2390878590","https://openalex.org/W2400138547","https://openalex.org/W2407521645","https://openalex.org/W2412782625","https://openalex.org/W2550157261","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2593768305","https://openalex.org/W2596246567","https://openalex.org/W2598666589","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2788202095","https://openalex.org/W2790688320","https://openalex.org/W2884419823","https://openalex.org/W2894651257","https://openalex.org/W2901388191","https://openalex.org/W2922225410","https://openalex.org/W2939059980","https://openalex.org/W2962850830","https://openalex.org/W2963037989","https://openalex.org/W2963107255","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964115968","https://openalex.org/W2968634921","https://openalex.org/W3010456692","https://openalex.org/W3016644593","https://openalex.org/W3032249063","https://openalex.org/W3094897602","https://openalex.org/W3099008583","https://openalex.org/W3106250896","https://openalex.org/W3129554782","https://openalex.org/W3175496347","https://openalex.org/W6637618735","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4293226380","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2563901864","https://openalex.org/W2953252165","https://openalex.org/W3168009835","https://openalex.org/W4299072667","https://openalex.org/W2964287305"],"abstract_inverted_index":{"With":[0],"the":[1,5,33,41,52,65,90,94,119,141,145,150,158,171,184,203,219,222],"successful":[2],"application":[3],"of":[4,144,202,221],"convolutional":[6],"neural":[7],"network":[8],"(CNN),":[9],"significant":[10],"progress":[11],"has":[12],"been":[13],"made":[14],"by":[15,149,182],"CNN-based":[16],"ship":[17,77,146],"detection":[18,78],"methods.":[19],"However,":[20],"they":[21],"often":[22],"face":[23],"considerable":[24],"difficulties":[25],"when":[26],"applied":[27],"to":[28,49,58,82,117,122,139,165,217],"a":[29,74,129,196],"new":[30],"domain":[31,54,75,95,115,151,186,212],"where":[32],"imaging":[34],"condition":[35],"changes":[36],"significantly.":[37],"Although":[38],"training":[39,192],"with":[40,154],"two":[42,177,204],"domains":[43],"together":[44],"can":[45],"solve":[46],"this":[47,72],"problem":[48],"some":[50],"extent,":[51],"large":[53],"shift":[55],"will":[56],"lead":[57],"sub-optimal":[59],"feature":[60],"representations,":[61],"and":[62,101,113,124,210],"thus":[63],"weaken":[64],"generalization":[66],"ability":[67],"on":[68,207],"both":[69,98,201,208],"domains.":[70,88,205],"In":[71,104],"paper,":[73],"adaptive":[76],"method":[79,92],"is":[80,134,163],"proposed":[81,91,135,159,223],"better":[83],"detect":[84],"ships":[85],"between":[86],"different":[87],"Specifically,":[89],"minimizes":[93],"discrepancies":[96],"via":[97,170],"image-level":[99,105],"adaption":[100,138,178,213],"instance-level":[102,137],"adaption.":[103],"adaption,":[106],"we":[107],"use":[108],"multiple":[109],"receptive":[110],"field":[111],"integration":[112],"channel":[114],"attention":[116],"enhance":[118],"feature\u2019s":[120],"resistance":[121],"scale":[123],"environmental":[125],"changes,":[126],"respectively.":[127],"Moreover,":[128],"novel":[130],"boundary":[131,160],"regression":[132,156,161],"module":[133,162],"in":[136,189],"correct":[140],"localization":[142],"deviation":[143],"proposals":[147],"caused":[148],"shift.":[152],"Compared":[153],"conventional":[155],"approaches,":[157],"able":[164],"make":[166],"more":[167],"accurate":[168],"predictions":[169],"effective":[172],"extreme":[173],"point":[174],"features.":[175],"The":[176],"components":[179],"are":[180,215],"implemented":[181],"learning":[183],"corresponding":[185],"classifiers":[187],"respectively":[188],"an":[190],"adversarial":[191],"way,":[193],"thereby":[194],"obtaining":[195],"robust":[197],"model":[198],"suitable":[199],"for":[200],"Experiments":[206],"supervised":[209],"unsupervised":[211],"scenarios":[214],"conducted":[216],"verify":[218],"effectiveness":[220],"method.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
