{"id":"https://openalex.org/W4384557639","doi":"https://doi.org/10.3390/s23146414","title":"RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO","display_name":"RSI-YOLO: Object Detection Method for Remote Sensing Images Based on Improved YOLO","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4384557639","doi":"https://doi.org/10.3390/s23146414","pmid":"https://pubmed.ncbi.nlm.nih.gov/37514708"},"language":"en","primary_location":{"id":"doi:10.3390/s23146414","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146414","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6414/pdf?version=1689340317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/14/6414/pdf?version=1689340317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100393942","display_name":"Zhuang Li","orcid":"https://orcid.org/0000-0002-4211-6525"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Li","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhui Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Yuan","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101629455","display_name":"Guixiang Li","orcid":"https://orcid.org/0009-0001-6612-5506"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixiang Li","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649232","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-6956-7342"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051166871","display_name":"Xingcan Li","orcid":"https://orcid.org/0000-0001-6436-4952"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingcan Li","raw_affiliation_strings":["School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":"https://orcid.org/0000-0001-6436-4952","affiliations":[{"raw_affiliation_string":"School of Energy and Power Engineering, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380817","display_name":"Dan Li","orcid":"https://orcid.org/0000-0003-4990-2411"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Li","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395846","display_name":"Xinhua Wang","orcid":"https://orcid.org/0000-0002-9505-0603"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhua Wang","raw_affiliation_strings":["School of Computer Science, Northeast Electric Power University, Jilin 132012, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100395846"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.5593,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97121664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"14","first_page":"6414","last_page":"6414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9983000159263611,"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":0.9955000281333923,"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/object-detection","display_name":"Object detection","score":0.748047947883606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6852830052375793},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6759793758392334},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6538769006729126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373907923698425},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5392336845397949},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5022892951965332},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45999205112457275},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44832390546798706},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4310712218284607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4250621199607849},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41774067282676697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.361851304769516},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3212386965751648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14350047707557678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06359094381332397},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06286630034446716}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.748047947883606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6852830052375793},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6759793758392334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6538769006729126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373907923698425},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5392336845397949},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5022892951965332},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45999205112457275},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44832390546798706},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4310712218284607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4250621199607849},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41774067282676697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.361851304769516},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3212386965751648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14350047707557678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06359094381332397},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06286630034446716},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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":5,"locations":[{"id":"doi:10.3390/s23146414","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146414","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6414/pdf?version=1689340317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:37514708","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37514708","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10385597","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10385597","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10385597/pdf/sensors-23-06414.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:af7cc2b1e59b4d0b9d0cf895e81cae10","is_oa":true,"landing_page_url":"https://doaj.org/article/af7cc2b1e59b4d0b9d0cf895e81cae10","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":"Sensors, Vol 23, Iss 14, p 6414 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/14/6414/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23146414","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":"Sensors; Volume 23; Issue 14; Pages: 6414","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23146414","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23146414","pdf_url":"https://www.mdpi.com/1424-8220/23/14/6414/pdf?version=1689340317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2554670475","display_name":null,"funder_award_id":"52106080","funder_id":"https://openalex.org/F4320329141","funder_display_name":"Northeast Electric Power University"},{"id":"https://openalex.org/G685669372","display_name":null,"funder_award_id":"BSJXM-2021116","funder_id":"https://openalex.org/F4320329141","funder_display_name":"Northeast Electric Power University"},{"id":"https://openalex.org/G6973083616","display_name":null,"funder_award_id":"JJKH20230135KJ","funder_id":"https://openalex.org/F4320329141","funder_display_name":"Northeast Electric Power University"}],"funders":[{"id":"https://openalex.org/F4320329141","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384557639.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1498436455","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1977556410","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2792827505","https://openalex.org/W2803187616","https://openalex.org/W2884585870","https://openalex.org/W2962749812","https://openalex.org/W2967464567","https://openalex.org/W2997747012","https://openalex.org/W3034971973","https://openalex.org/W3102127038","https://openalex.org/W3106250896","https://openalex.org/W3122173535","https://openalex.org/W3156201349","https://openalex.org/W3203608457","https://openalex.org/W4290467229","https://openalex.org/W4308159485","https://openalex.org/W4319296529","https://openalex.org/W4319601575","https://openalex.org/W4377022413","https://openalex.org/W4379230095","https://openalex.org/W4379468926","https://openalex.org/W4380084044","https://openalex.org/W4381252197","https://openalex.org/W4381618037","https://openalex.org/W4382135374","https://openalex.org/W4382402863","https://openalex.org/W4391331851","https://openalex.org/W6644682428","https://openalex.org/W6770715449","https://openalex.org/W6801830353","https://openalex.org/W6861026984"],"related_works":["https://openalex.org/W4206776094","https://openalex.org/W2949096641","https://openalex.org/W3154920669","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3121197456","https://openalex.org/W4254103348","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4292830139"],"abstract_inverted_index":{"With":[0],"the":[1,57,72,92,96,105,140,147,169,194,197,201],"continuous":[2],"development":[3],"of":[4,22,27,71,104,174,196],"deep":[5],"learning":[6],"technology,":[7],"object":[8,134,189],"detection":[9,26,52,60,135,175,183,190],"has":[10,65],"received":[11],"extensive":[12],"attention":[13,83,86],"across":[14],"various":[15],"computer":[16],"fields":[17],"as":[18,160],"a":[19,34,48,110,116,132],"fundamental":[20],"task":[21],"computational":[23],"vision.":[24],"Effective":[25],"objects":[28],"in":[29,172],"remote":[30,49,155],"sensing":[31,50,156],"images":[32],"is":[33,62,113,137,143],"key":[35],"challenge,":[36],"owing":[37],"to":[38,68,90,115,122,145,186],"their":[39],"small":[40,133],"size":[41],"and":[42,75,84,126,139,162],"low":[43],"resolution.":[44],"In":[45,130],"this":[46,79],"study,":[47],"image":[51,157],"(RSI-YOLO)":[53],"approach":[54],"based":[55,108],"on":[56,109],"YOLOv5":[58,202],"target":[59],"algorithm":[61,180],"proposed,":[63],"which":[64],"been":[66],"proven":[67],"be":[69],"one":[70],"most":[73],"representative":[74],"effective":[76],"algorithms":[77],"for":[78],"task.":[80],"The":[81,99,150,177],"channel":[82],"spatial":[85],"mechanisms":[87],"are":[88],"used":[89],"strengthen":[91],"features":[93],"fused":[94],"by":[95],"neural":[97],"network.":[98],"multi-scale":[100],"feature":[101,119,128],"fusion":[102],"structure":[103,112,121],"original":[106,170],"network":[107,148],"PANet":[111],"improved":[114],"weighted":[117],"bidirectional":[118],"pyramid":[120],"achieve":[123],"more":[124],"efficient":[125],"richer":[127],"fusion.":[129],"addition,":[131],"layer":[136],"added,":[138],"loss":[141],"function":[142],"modified":[144],"optimise":[146],"model.":[149],"experimental":[151],"results":[152],"from":[153],"four":[154],"datasets,":[158],"such":[159],"DOTA":[161],"NWPU-VHR":[163],"10,":[164],"indicate":[165],"that":[166],"RSI-YOLO":[167,179],"outperforms":[168],"YOLO":[171],"terms":[173],"performance.":[176],"proposed":[178],"demonstrated":[181],"superior":[182],"performance":[184],"compared":[185],"other":[187],"classical":[188],"algorithms,":[191],"thus":[192],"validating":[193],"effectiveness":[195],"improvements":[198],"introduced":[199],"into":[200],"algorithm.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}