{"id":"https://openalex.org/W4289205732","doi":"https://doi.org/10.3390/rs14153637","title":"Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery","display_name":"Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4289205732","doi":"https://doi.org/10.3390/rs14153637"},"language":"en","primary_location":{"id":"doi:10.3390/rs14153637","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153637","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3637/pdf?version=1659422411","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/2072-4292/14/15/3637/pdf?version=1659422411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022687937","display_name":"Dujuan Cao","orcid":"https://orcid.org/0000-0002-1376-1509"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dujuan Cao","raw_affiliation_strings":["College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083375980","display_name":"Changming Zhu","orcid":"https://orcid.org/0000-0001-8039-5601"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changming Zhu","raw_affiliation_strings":["College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077940082","display_name":"Xinxin Hu","orcid":"https://orcid.org/0000-0002-8231-4024"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Hu","raw_affiliation_strings":["College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031426337","display_name":"Ri\u2010Gui Zhou","orcid":"https://orcid.org/0000-0002-8894-8108"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rigui Zhou","raw_affiliation_strings":["College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083375980"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4083,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.595038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"14","issue":"15","first_page":"3637","last_page":"3637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8072019219398499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685052216053009},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.663837730884552},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5707982182502747},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5147929191589355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4825831949710846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47057172656059265},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4544551372528076},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43342775106430054},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4306888282299042},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.42910975217819214},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42181044816970825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4136772155761719},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19790592789649963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15739253163337708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06370490789413452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072019219398499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685052216053009},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.663837730884552},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5707982182502747},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5147929191589355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4825831949710846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47057172656059265},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4544551372528076},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43342775106430054},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4306888282299042},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.42910975217819214},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42181044816970825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4136772155761719},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19790592789649963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15739253163337708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06370490789413452},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/rs14153637","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153637","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3637/pdf?version=1659422411","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:2dbb0d15e03941de86fa6fee71695f0f","is_oa":true,"landing_page_url":"https://doaj.org/article/2dbb0d15e03941de86fa6fee71695f0f","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 14, Iss 15, p 3637 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/15/3637/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14153637","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14153637","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153637","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3637/pdf?version=1659422411","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/G2209529100","display_name":null,"funder_award_id":"61602296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6553254459","display_name":null,"funder_award_id":"22ZR1427000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7455202053","display_name":null,"funder_award_id":"18CG54","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289205732.pdf","grobid_xml":"https://content.openalex.org/works/W4289205732.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W845365781","https://openalex.org/W1536680647","https://openalex.org/W2071356085","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2296151615","https://openalex.org/W2535388113","https://openalex.org/W2564755587","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2855340099","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2885139206","https://openalex.org/W2886904239","https://openalex.org/W2888527098","https://openalex.org/W2935934262","https://openalex.org/W2957077982","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963299736","https://openalex.org/W2963307106","https://openalex.org/W2964241181","https://openalex.org/W2964979676","https://openalex.org/W2966401131","https://openalex.org/W2970370255","https://openalex.org/W2982631194","https://openalex.org/W2982770724","https://openalex.org/W2990984982","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2993501994","https://openalex.org/W3004492228","https://openalex.org/W3015646927","https://openalex.org/W3022917557","https://openalex.org/W3034993937","https://openalex.org/W3035396860","https://openalex.org/W3035433720","https://openalex.org/W3035473155","https://openalex.org/W3046174881","https://openalex.org/W3092088889","https://openalex.org/W3097779785","https://openalex.org/W3107075539","https://openalex.org/W3113728373","https://openalex.org/W3114606989","https://openalex.org/W3119027652","https://openalex.org/W3120031785","https://openalex.org/W3121842289","https://openalex.org/W3122893743","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W3171395710","https://openalex.org/W3174873843","https://openalex.org/W3175496347","https://openalex.org/W3177052299","https://openalex.org/W3180084293","https://openalex.org/W3216325077","https://openalex.org/W6739901393","https://openalex.org/W6766860876","https://openalex.org/W6767104088","https://openalex.org/W6782137339","https://openalex.org/W6786872689","https://openalex.org/W6796744688"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W2407190427","https://openalex.org/W3081299480","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W2028037572","https://openalex.org/W2315652488"],"abstract_inverted_index":{"In":[0,61],"recent":[1],"years,":[2],"significant":[3],"progress":[4],"has":[5],"been":[6],"made":[7],"in":[8,18,30,58,93,133],"arbitrary-oriented":[9,71],"object":[10,16,72],"detection.":[11],"Different":[12],"from":[13,151],"natural":[14],"images,":[15,136],"detection":[17,69,73],"aerial":[19,173],"images":[20,174],"remains":[21],"its":[22],"problems":[23],"and":[24,74,99,176,182],"challenges.":[25],"Current":[26],"feature":[27,77,158],"enhancement":[28,78,159],"strategies":[29],"this":[31,62],"field":[32],"mainly":[33],"focus":[34],"on":[35,81,155,168],"enhancing":[36],"the":[37,42,46,104,109,125,147,156,163],"local":[38],"critical":[39],"response":[40],"of":[41,96,112,127,149,172],"target":[43],"while":[44],"ignoring":[45],"target\u2019s":[47],"contextual":[48],"information,":[49],"which":[50],"is":[51],"indispensable":[52],"for":[53],"detecting":[54],"remote":[55,134],"sensing":[56,135],"targets":[57,113],"complex":[59],"backgrounds.":[60],"paper,":[63],"we":[64,137,161],"innovatively":[65],"combine":[66],"semantic":[67,83],"edge":[68,84,110],"with":[70,130],"propose":[75,138],"a":[76,82,139],"network":[79,105,164],"base":[80],"supervision":[85],"module":[86],"(SES)":[87],"that":[88],"realizes":[89],"an":[90],"attention-like":[91],"mechanism":[92],"three":[94],"dimensions":[95],"space,":[97],"channel,":[98],"pyramid":[100,143],"level.":[101],"It":[102],"helps":[103],"pay":[106],"attention":[107],"to":[108,117,123,145],"features":[111,148],"at":[114],"multiple":[115,152],"scales":[116],"obtain":[118],"more":[119],"regression":[120],"clues.":[121],"Furthermore,":[122],"solve":[124],"problem":[126],"dense":[128],"objects":[129,150],"different":[131],"directions":[132],"rotation-invariant":[140],"spatial":[141],"pooling":[142],"(RISPP)":[144],"extract":[146],"orientations.":[153],"Based":[154],"two":[157],"modules,":[160],"named":[162],"SE2-Det;":[165],"extensive":[166],"experiments":[167],"large":[169],"public":[170],"datasets":[171],"(DOTA":[175],"UCAS-AOD)":[177],"validate":[178],"our":[179,184],"approach\u2019s":[180],"effectiveness":[181],"demonstrate":[183],"detector\u2019s":[185],"superior":[186],"performance.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
