{"id":"https://openalex.org/W4323644275","doi":"https://doi.org/10.1109/jstars.2023.3254047","title":"MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection","display_name":"MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323644275","doi":"https://doi.org/10.1109/jstars.2023.3254047"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3254047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3254047","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10064169.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10064169.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013877857","display_name":"Keyan Wang","orcid":"https://orcid.org/0000-0002-9545-718X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9545-718X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060370715","display_name":"Feiyu Bai","orcid":"https://orcid.org/0009-0002-4180-7954"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyu Bai","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0002-4180-7954","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734649","display_name":"Jiaojiao Li","orcid":"https://orcid.org/0000-0002-0470-9469"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0470-9469","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629029","display_name":"Yajing Liu","orcid":"https://orcid.org/0000-0001-5467-5976"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067798266","display_name":"Yunsong Li","orcid":"https://orcid.org/0000-0002-0234-6270"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunsong Li","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0234-6270","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.3625,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93959609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"16","issue":null,"first_page":"2753","last_page":"2763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980999827384949,"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":0.7944229245185852},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6828410625457764},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6184996366500854},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5678598284721375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562326967716217},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5599063038825989},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5566281080245972},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4737589955329895},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43255653977394104},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4115239977836609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3902486562728882},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35973531007766724},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08593815565109253},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07994997501373291},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07973763346672058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944229245185852},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6828410625457764},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6184996366500854},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5678598284721375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562326967716217},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5599063038825989},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5566281080245972},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4737589955329895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43255653977394104},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4115239977836609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3902486562728882},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35973531007766724},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08593815565109253},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07994997501373291},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07973763346672058},{"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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3254047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3254047","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10064169.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c9fa8148949498aaaf4eed7557b7346","is_oa":true,"landing_page_url":"https://doaj.org/article/0c9fa8148949498aaaf4eed7557b7346","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2753-2763 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3254047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3254047","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10064169.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1192011550","display_name":null,"funder_award_id":"2018T111019","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1595715893","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G2086373160","display_name":null,"funder_award_id":"2017M623124","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3302658","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"},{"id":"https://openalex.org/G4131587450","display_name":"\u56fe\u50cf\u7b97\u672f\u7f16\u7801\u7279\u5f81\u53ca\u540c\u6b65\u6280\u672f\u7814\u7a76","funder_award_id":"61571345","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4507359911","display_name":null,"funder_award_id":"61502367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4801475360","display_name":"\u57fa\u4e8e\u7a00\u758f\u4f4e\u79e9\u8868\u793a\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u7684\u9ad8\u5149\u8c31\u56fe\u50cf\u5149\u8c31\u53d8\u5316\u5904\u7406\u7814\u7a76","funder_award_id":"61671383","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5541786726","display_name":null,"funder_award_id":"10221150004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657849150","display_name":null,"funder_award_id":"91538101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6255080559","display_name":null,"funder_award_id":"61901343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7394140338","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G822648524","display_name":null,"funder_award_id":"SKLGIE2020-M-3-1","funder_id":"https://openalex.org/F4320326985","funder_display_name":"State Key Laboratory of Geo-Information Engineering"},{"id":"https://openalex.org/G841248577","display_name":null,"funder_award_id":"61501346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8500871024","display_name":null,"funder_award_id":"B08038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8504456394","display_name":null,"funder_award_id":"10221150004","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"},{"id":"https://openalex.org/F4320326985","display_name":"State Key Laboratory of Geo-Information Engineering","ror":null},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323644275.pdf","grobid_xml":"https://content.openalex.org/works/W4323644275.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2096352448","https://openalex.org/W2102605133","https://openalex.org/W2113199901","https://openalex.org/W2161969291","https://openalex.org/W2307770531","https://openalex.org/W2308318555","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2768993505","https://openalex.org/W2789609993","https://openalex.org/W2888527098","https://openalex.org/W2909102496","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2982770724","https://openalex.org/W2985469567","https://openalex.org/W2989604896","https://openalex.org/W2998030133","https://openalex.org/W3001733574","https://openalex.org/W3004561134","https://openalex.org/W3009818596","https://openalex.org/W3012573144","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3092462694","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3110440461","https://openalex.org/W3113343294","https://openalex.org/W3120085233","https://openalex.org/W3133630855","https://openalex.org/W3138516171","https://openalex.org/W3162930275","https://openalex.org/W3193551430","https://openalex.org/W3200491398","https://openalex.org/W4207064056","https://openalex.org/W4289751823","https://openalex.org/W4289752563","https://openalex.org/W4293584584","https://openalex.org/W4385245566","https://openalex.org/W6750227808","https://openalex.org/W6753396716","https://openalex.org/W6760424586","https://openalex.org/W6784094891","https://openalex.org/W6784333009","https://openalex.org/W6784923365"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Object":[0],"detection":[1,36,101],"is":[2,131],"a":[3,126],"critical":[4],"and":[5,14,28,56,86,142,172,185],"demanding":[6],"topic":[7],"in":[8,20,44,91,109],"the":[9,29,49,64,69,81,88,96,100,113,135,147,150,163,183,203],"subject":[10],"of":[11,98,115,149,187],"processing":[12],"satellite":[13],"airborne":[15],"images.":[16],"The":[17,179],"targets":[18],"acquired":[19],"remote":[21,110],"sensing":[22,111],"imagery":[23],"are":[24,31,155],"at":[25],"various":[26],"sizes,":[27],"backgrounds":[30],"complicated,":[32],"which":[33,78],"makes":[34],"object":[35,116],"extremely":[37],"challenging.":[38],"We":[39],"address":[40],"these":[41],"aforementioned":[42],"issues":[43],"this":[45],"paper":[46],"by":[47,191],"introducing":[48],"MashFormer,":[50,152],"an":[51],"innovative":[52],"multi-scale":[53,106],"aware":[54],"CNN":[55],"Transformer":[57],"integrated":[58],"hybrid":[59],"detector.":[60],"Specifically,":[61],"MashFormer":[62],"employs":[63],"transformer":[65],"block":[66],"to":[67,133],"complement":[68],"convolutional":[70],"neural":[71],"network":[72],"(CNN)":[73],"based":[74],"feature":[75,121,128],"extraction":[76],"backbone,":[77],"could":[79],"obtain":[80],"relationships":[82],"between":[83,138],"long-range":[84],"features":[85,139],"enhance":[87],"representative":[89],"ability":[90],"complex":[92],"background":[93],"scenarios.":[94],"With":[95],"intention":[97],"improving":[99],"performance":[102],"for":[103],"objects":[104],"with":[105,125,158],"characteristic,":[107],"since":[108],"scenarios,":[112],"size":[114],"varies":[117],"greatly.":[118],"A":[119],"multi-level":[120],"aggregation":[122],"component,":[123],"incoperate":[124],"cross-level":[127],"alignment":[129],"module":[130],"designed":[132],"alleviate":[134],"semantic":[136],"discrepancy":[137],"from":[140],"shallow":[141],"deep":[143],"layers.":[144],"To":[145],"verify":[146],"effectiveness":[148,184],"suggested":[151,189],"comparative":[153],"experiments":[154],"carried":[156],"out":[157],"other":[159,204],"cutting-edge":[160],"methodologies":[161],"using":[162],"publicly":[164],"available":[165],"High":[166],"Resolution":[167],"Remote":[168],"Sensing":[169],"Detection":[170],"(HRRSD)":[171],"Northwestern":[173],"Polytechnical":[174],"University":[175],"(NWPU)":[176],"VHR-10":[177],"datasets.":[178],"experimental":[180],"findings":[181],"confirm":[182],"superiority":[186],"our":[188,194],"model":[190],"indicating":[192],"that":[193],"approach":[195],"has":[196],"greater":[197],"mean":[198],"average":[199],"precision":[200],"(mAP)":[201],"than":[202],"methodologies.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}