{"id":"https://openalex.org/W3179749401","doi":"https://doi.org/10.3390/rs13132602","title":"An Improved Aggregated-Mosaic Method for the Sparse Object Detection of Remote Sensing Imagery","display_name":"An Improved Aggregated-Mosaic Method for the Sparse Object Detection of Remote Sensing Imagery","publication_year":2021,"publication_date":"2021-07-02","ids":{"openalex":"https://openalex.org/W3179749401","doi":"https://doi.org/10.3390/rs13132602","mag":"3179749401"},"language":"en","primary_location":{"id":"doi:10.3390/rs13132602","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132602","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2602/pdf?version=1625733513","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/13/2602/pdf?version=1625733513","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060938159","display_name":"Boya Zhao","orcid":"https://orcid.org/0000-0001-5620-406X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boya Zhao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112014078","display_name":"Yuanfeng Wu","orcid":"https://orcid.org/0000-0001-8427-9851"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanfeng Wu","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079683658","display_name":"Xinran Guan","orcid":"https://orcid.org/0000-0001-7131-4531"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Guan","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389708","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0003-0319-7753"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112014078"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8449,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87456778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"13","issue":"13","first_page":"2602","last_page":"2602"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9980999827384949,"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":0.7611421346664429},{"id":"https://openalex.org/keywords/mosaic","display_name":"Mosaic","score":0.7145550847053528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6415703892707825},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6394566297531128},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5851992964744568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5556817650794983},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5219837427139282},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4882771968841553},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48324474692344666},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47194164991378784},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46748870611190796},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4575492739677429},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43160244822502136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3361307680606842},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1308184564113617},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06428664922714233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611421346664429},{"id":"https://openalex.org/C110739175","wikidata":"https://www.wikidata.org/wiki/Q133067","display_name":"Mosaic","level":2,"score":0.7145550847053528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6415703892707825},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6394566297531128},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5851992964744568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5556817650794983},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5219837427139282},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4882771968841553},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48324474692344666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47194164991378784},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46748870611190796},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4575492739677429},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43160244822502136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3361307680606842},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1308184564113617},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06428664922714233},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13132602","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132602","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2602/pdf?version=1625733513","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:8e2eb87f7cd6440dbbfb529949b47e32","is_oa":true,"landing_page_url":"https://doaj.org/article/8e2eb87f7cd6440dbbfb529949b47e32","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 13, p 2602 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/13/2602/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13132602","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/rs13132602","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132602","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2602/pdf?version=1625733513","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":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G338057762","display_name":null,"funder_award_id":"62001455, 41871245","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3179749401.pdf","grobid_xml":"https://content.openalex.org/works/W3179749401.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1540007258","https://openalex.org/W1596717185","https://openalex.org/W1836465849","https://openalex.org/W2056025798","https://openalex.org/W2095705004","https://openalex.org/W2100153895","https://openalex.org/W2102605133","https://openalex.org/W2117539524","https://openalex.org/W2120419212","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2176924101","https://openalex.org/W2193145675","https://openalex.org/W2308318555","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2785430118","https://openalex.org/W2883820570","https://openalex.org/W2890166761","https://openalex.org/W2900511962","https://openalex.org/W2900595477","https://openalex.org/W2902617128","https://openalex.org/W2937221889","https://openalex.org/W2944223741","https://openalex.org/W2952565170","https://openalex.org/W2954996726","https://openalex.org/W2963031676","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963271314","https://openalex.org/W2990495699","https://openalex.org/W2997502936","https://openalex.org/W2997747012","https://openalex.org/W3006232061","https://openalex.org/W3034522582","https://openalex.org/W3040988483","https://openalex.org/W3106250896","https://openalex.org/W3142436373","https://openalex.org/W3144930487","https://openalex.org/W3160716376","https://openalex.org/W3173453526","https://openalex.org/W3176659256","https://openalex.org/W3180134609","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6683411478","https://openalex.org/W6743440100","https://openalex.org/W6745136726","https://openalex.org/W6757817989","https://openalex.org/W6761108903"],"related_works":["https://openalex.org/W2493552207","https://openalex.org/W2397874377","https://openalex.org/W4249026204","https://openalex.org/W2027673787","https://openalex.org/W4404777802","https://openalex.org/W2327982655","https://openalex.org/W428377179","https://openalex.org/W1483215156","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Object":[0],"detection":[1],"based":[2,102],"on":[3,42,103,166,221],"remote":[4,28,50,82,175],"sensing":[5,29,51,83,176],"imagery":[6,52],"has":[7],"become":[8],"increasingly":[9],"popular":[10],"over":[11],"the":[12,25,35,58,77,81,87,90,95,104,111,125,146,150,159,183,189,192,207,233,242],"past":[13],"few":[14],"years.":[15],"Unlike":[16],"natural":[17],"images":[18,30,84],"taken":[19],"by":[20,145,217,239],"humans":[21],"or":[22,133,153],"surveillance":[23],"cameras,":[24],"scale":[26],"of":[27,80,89,122,198],"is":[31,162,196],"large,":[32],"which":[33,148],"requires":[34],"training":[36,69,78,92,116,127,160],"and":[37,57,70,85,98,107,143,172,195,219,225],"inference":[38],"procedure":[39],"to":[40,130,164,181],"be":[41],"a":[43],"cutting":[44],"image.":[45],"However,":[46],"objects":[47],"appearing":[48],"in":[49,67,135],"are":[53,63,140],"often":[54],"sparsely":[55],"distributed":[56],"labels":[59],"for":[60],"each":[61,115],"class":[62],"imbalanced.":[64],"This":[65],"results":[66],"unstable":[68],"inference.":[71],"In":[72,100],"this":[73],"paper,":[74],"we":[75,202],"analyze":[76],"characteristics":[79],"propose":[86],"fusion":[88],"aggregated-mosaic":[91],"method,":[93],"with":[94,118,137,155,178],"assigned-stitch":[96,112],"augmentation":[97,113,193],"auto-target-duplication.":[99],"particular,":[101],"ground":[105],"truth":[106],"mosaic":[108],"image":[109],"size,":[110],"enhances":[114],"sample":[117,151],"an":[119],"appropriate":[120],"account":[121],"objects,":[123,132,180],"facilitating":[124],"smooth":[126],"procedure.":[128],"Hard":[129],"detect":[131],"those":[134],"classes":[136,154],"rare":[138],"samples,":[139],"randomly":[141],"selected":[142],"duplicated":[144],"auto-target-duplication,":[147],"solves":[149],"imbalance":[152],"insufficient":[156],"results.":[157],"Thus,":[158],"process":[161],"able":[163],"focus":[165],"weak":[167],"classes.":[168],"We":[169],"employ":[170],"VEDAI":[171],"NWPU":[173,243],"VHR-10,":[174],"datasets":[177],"sparse":[179],"verify":[182],"proposed":[184,234],"method.":[185],"The":[186],"YOLOv5":[187],"adopts":[188],"Mosaic":[190,204,215,237],"as":[191,206],"method":[194,213,235],"one":[197],"state-of-the-art":[199],"detectors,":[200],"so":[201],"choose":[203],"(YOLOv5)":[205,216,238],"baseline.":[208],"Results":[209],"demonstrate":[210],"that":[211],"our":[212],"outperforms":[214,236],"2.72%":[218],"5.44%":[220],"512":[222,224],"\u00d7":[223,227],"1024":[226,228],"resolution":[229],"imagery,":[230],"respectively.":[231],"Moreover,":[232],"5.48%":[240],"under":[241],"VHR-10":[244],"dataset.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}