{"id":"https://openalex.org/W4384038087","doi":"https://doi.org/10.3390/rs15143497","title":"ORCNN-X: Attention-Driven Multiscale Network for Detecting Small Objects in Complex Aerial Scenes","display_name":"ORCNN-X: Attention-Driven Multiscale Network for Detecting Small Objects in Complex Aerial Scenes","publication_year":2023,"publication_date":"2023-07-11","ids":{"openalex":"https://openalex.org/W4384038087","doi":"https://doi.org/10.3390/rs15143497"},"language":"en","primary_location":{"id":"doi:10.3390/rs15143497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143497","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3497/pdf?version=1689086148","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/2072-4292/15/14/3497/pdf?version=1689086148","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100784416","display_name":"Yanfen Li","orcid":"https://orcid.org/0000-0002-7777-7518"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfen Li","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao 276826, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao 276826, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014796181","display_name":"Hanxiang Wang","orcid":"https://orcid.org/0000-0003-3826-6472"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanxiang Wang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao 276826, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao 276826, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075983792","display_name":"L. Minh Dang","orcid":"https://orcid.org/0000-0001-7691-3453"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"L. Minh Dang","raw_affiliation_strings":["Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032291620","display_name":"Hyoung\u2010Kyu Song","orcid":"https://orcid.org/0000-0002-3274-4982"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyoung-Kyu Song","raw_affiliation_strings":["Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031881955","display_name":"Hyeonjoon Moon","orcid":"https://orcid.org/0000-0001-7668-3838"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyeonjoon Moon","raw_affiliation_strings":["Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031881955"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.194,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81041188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"14","first_page":"3497","last_page":"3497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9990000128746033,"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":0.7819002270698547},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7090867757797241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919524431228638},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5716021656990051},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.525166928768158},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4605952501296997},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.4483005404472351},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4459715485572815},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4324226379394531},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4281395375728607},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42123955488204956},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.4110866189002991},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40423181653022766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4027152955532074},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.21007153391838074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18273881077766418},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12072375416755676},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11418858170509338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819002270698547},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7090867757797241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919524431228638},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5716021656990051},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.525166928768158},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4605952501296997},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.4483005404472351},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4459715485572815},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4324226379394531},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4281395375728607},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42123955488204956},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.4110866189002991},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40423181653022766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4027152955532074},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.21007153391838074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18273881077766418},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12072375416755676},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11418858170509338},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15143497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143497","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3497/pdf?version=1689086148","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:a1b754edc56f42e6aa9d42f0a039d0a4","is_oa":true,"landing_page_url":"https://doaj.org/article/a1b754edc56f42e6aa9d42f0a039d0a4","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 15, Iss 14, p 3497 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/14/3497/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15143497","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 15; Issue 14; Pages: 3497","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15143497","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143497","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3497/pdf?version=1689086148","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/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1593924432","display_name":null,"funder_award_id":"120209","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3002030758","display_name":null,"funder_award_id":"(2021R1F1A1046339)","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3071639259","display_name":null,"funder_award_id":"2021R1","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3942910960","display_name":null,"funder_award_id":"(NRF) grant","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5337702532","display_name":null,"funder_award_id":"based","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G5396177265","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G554036074","display_name":null,"funder_award_id":"2020R1A6A1A03038540","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7937258333","display_name":null,"funder_award_id":"20212020900150","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G992484961","display_name":null,"funder_award_id":"Korea","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384038087.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2302255633","https://openalex.org/W2400138547","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2593539516","https://openalex.org/W2800388963","https://openalex.org/W2962749812","https://openalex.org/W2963857746","https://openalex.org/W2964979676","https://openalex.org/W2972014750","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2993501994","https://openalex.org/W2998844432","https://openalex.org/W3016719260","https://openalex.org/W3034552520","https://openalex.org/W3034993937","https://openalex.org/W3106228955","https://openalex.org/W3136761610","https://openalex.org/W3170033848","https://openalex.org/W4205659311","https://openalex.org/W4207055281","https://openalex.org/W4214648418","https://openalex.org/W4224078271","https://openalex.org/W4225590475","https://openalex.org/W4281776619","https://openalex.org/W4285697890","https://openalex.org/W4289932046","https://openalex.org/W4301373623","https://openalex.org/W4312804579","https://openalex.org/W4323566921","https://openalex.org/W6766359107","https://openalex.org/W6782137339","https://openalex.org/W6806569910"],"related_works":["https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W2972256598","https://openalex.org/W4388964477","https://openalex.org/W4388813151","https://openalex.org/W2610408157","https://openalex.org/W4221156520","https://openalex.org/W2099047584","https://openalex.org/W4283696875","https://openalex.org/W2612465689"],"abstract_inverted_index":{"Currently,":[0],"object":[1,55,95],"detection":[2,56,96,164],"on":[3,147,198],"remote":[4,33,98],"sensing":[5,99],"images":[6,30,71,100],"has":[7],"drawn":[8],"significant":[9],"attention":[10,118],"due":[11],"to":[12,39,63,128,180],"its":[13,158],"extensive":[14],"applications,":[15],"including":[16],"environmental":[17],"monitoring,":[18],"urban":[19],"planning,":[20],"and":[21,48,52,121,134,139,153,166,195,200],"disaster":[22],"assessment.":[23],"However,":[24],"detecting":[25],"objects":[26,74],"in":[27,50,60,69,97,137,161],"the":[28,83,103,130,181,189],"aerial":[29,70],"captured":[31],"by":[32,78,101,192],"sensors":[34],"presents":[35],"unique":[36],"challenges":[37],"compared":[38],"natural":[40],"images,":[41],"such":[42],"as":[43],"low":[44],"resolution,":[45],"complex":[46],"backgrounds,":[47],"variations":[49,136],"scale":[51,138],"angle.":[53,140],"Prior":[54],"algorithms":[57],"are":[58,75],"limited":[59],"their":[61],"ability":[62,133],"identify":[64],"oriented":[65,93],"small":[66,73,94],"objects,":[67],"especially":[68],"where":[72],"usually":[76],"obscured":[77],"background":[79],"noise.":[80],"To":[81],"address":[82],"above":[84],"limitations,":[85],"a":[86,109,116],"novel":[87],"framework":[88,107,143],"(ORCNN-X)":[89],"was":[90],"proposed":[91,142],"for":[92],"improving":[102],"Oriented":[104],"RCNN.":[105],"The":[106,141,155,168],"adopts":[108],"multiscale":[110],"feature":[111,124,182],"extraction":[112],"network":[113],"(ResNeSt+)":[114],"with":[115],"dynamic":[117],"module":[119],"(DCSA)":[120],"an":[122],"effective":[123],"fusion":[125],"mechanism":[126],"(W-PAFPN)":[127],"enhance":[129],"model\u2019s":[131],"perception":[132],"handle":[135],"is":[144],"evaluated":[145],"based":[146],"two":[148],"public":[149],"benchmark":[150],"datasets,":[151,202],"DOTA":[152,199],"HRSC2016.":[154],"experiments":[156],"demonstrate":[157],"state-of-the-art":[159],"performance":[160],"aspects":[162],"of":[163],"accuracy":[165],"speed.":[167],"presented":[169],"model":[170,187,191],"can":[171],"also":[172],"represent":[173],"more":[174],"objective":[175],"spatial":[176],"location":[177],"information":[178],"according":[179],"visualization":[183],"maps.":[184],"Specifically,":[185],"our":[186],"outperforms":[188],"baseline":[190],"1.43%":[193],"mAP50":[194],"1.37%":[196],"mAP12":[197],"HRSC2016":[201],"respectively.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-07-13T00:00:00"}