{"id":"https://openalex.org/W4382897199","doi":"https://doi.org/10.11834/jrs.20210505","title":"Optical remote sensing image object detection based on multi-resolution feature fusion","display_name":"Optical remote sensing image object detection based on multi-resolution feature fusion","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4382897199","doi":"https://doi.org/10.11834/jrs.20210505"},"language":"en","primary_location":{"id":"doi:10.11834/jrs.20210505","doi":"https://doi.org/10.11834/jrs.20210505","is_oa":true,"landing_page_url":"https://doi.org/10.11834/jrs.20210505","pdf_url":"http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10351461&attachType=lowqualitypdf&token=&language=zh","source":{"id":"https://openalex.org/S2764468969","display_name":"National Remote Sensing Bulletin","issn_l":"1007-4619","issn":["1007-4619","2095-9494"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Remote Sensing Bulletin","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10351461&attachType=lowqualitypdf&token=&language=zh","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049254107","display_name":"Yanqing Yao","orcid":"https://orcid.org/0000-0002-4181-2166","observed_orcids":["https://orcid.org/0000-0002-4181-2166"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YAO Yanqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127829488","display_name":"CHENG Gong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"CHENG Gong","raw_affiliation_strings":["\u901a\u4fe1\u4f5c\u8005\u7b80\u4ecb\uff1a\u7a0b\u5868\uff0c1984 \u5e74\u751f\uff0c"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u901a\u4fe1\u4f5c\u8005\u7b80\u4ecb\uff1a\u7a0b\u5868\uff0c1984 \u5e74\u751f\uff0c","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083549112","display_name":"Xingxing Xie","orcid":"https://orcid.org/0000-0003-1893-9641","observed_orcids":["https://orcid.org/0000-0003-1893-9641"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"XIE Xingxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5143355773","display_name":"HAN Junwei","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HAN Junwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5127829488"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.687,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.84980114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"25","issue":"5","first_page":"1124","last_page":"1137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8945000171661377,"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":0.8945000171661377,"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":0.08649999648332596,"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":0.007400000002235174,"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/multi-resolution-feature-fusion","display_name":"multi-resolution feature fusion","score":0.968999981880188},{"id":"https://openalex.org/keywords/feature-pyramid","display_name":"feature pyramid","score":0.7549999952316284},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.7210000157356262},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"semantic gap","score":0.7870000004768372},{"id":"https://openalex.org/keywords/dior","display_name":"Dior","score":0.7570000290870667},{"id":"https://openalex.org/keywords/dota","display_name":"DOTA","score":0.871999979019165}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.677762508392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.670110285282135},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.634331226348877},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6084311604499817},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6037828922271729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5450544357299805},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5379870533943176},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4630783498287201},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4359420835971832},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.43384116888046265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3982768654823303},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32818472385406494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30743396282196045},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11834/jrs.20210505","doi":"https://doi.org/10.11834/jrs.20210505","is_oa":true,"landing_page_url":"https://doi.org/10.11834/jrs.20210505","pdf_url":"http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10351461&attachType=lowqualitypdf&token=&language=zh","source":{"id":"https://openalex.org/S2764468969","display_name":"National Remote Sensing Bulletin","issn_l":"1007-4619","issn":["1007-4619","2095-9494"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Remote Sensing Bulletin","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11834/jrs.20210505","doi":"https://doi.org/10.11834/jrs.20210505","is_oa":true,"landing_page_url":"https://doi.org/10.11834/jrs.20210505","pdf_url":"http://www.ygxb.ac.cn/rc-pub/front/front-article/download?siteId=91&id=10351461&attachType=lowqualitypdf&token=&language=zh","source":{"id":"https://openalex.org/S2764468969","display_name":"National Remote Sensing Bulletin","issn_l":"1007-4619","issn":["1007-4619","2095-9494"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319982","host_organization_name":"Science Press","host_organization_lineage":["https://openalex.org/P4310319982"],"host_organization_lineage_names":["Science Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"National Remote Sensing Bulletin","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382897199.pdf","grobid_xml":"https://content.openalex.org/works/W4382897199.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2117539524","https://openalex.org/W2124386111","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2308318555","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2779335303","https://openalex.org/W2809635958","https://openalex.org/W2855340099","https://openalex.org/W2884419823","https://openalex.org/W2888527098","https://openalex.org/W2890319410","https://openalex.org/W2902166991","https://openalex.org/W2912961521","https://openalex.org/W2913087080","https://openalex.org/W2929792287","https://openalex.org/W2962749812","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2991359031","https://openalex.org/W2992240579","https://openalex.org/W2995801068","https://openalex.org/W3009818596","https://openalex.org/W3106250896","https://openalex.org/W4383002829","https://openalex.org/W4383117820","https://openalex.org/W4383118004","https://openalex.org/W4383570569","https://openalex.org/W4385532648","https://openalex.org/W4403277336"],"related_works":["https://openalex.org/W4382519647","https://openalex.org/W4382519747","https://openalex.org/W3210442598","https://openalex.org/W7084094864","https://openalex.org/W4388646609","https://openalex.org/W2921351656","https://openalex.org/W3004755464","https://openalex.org/W3009818596","https://openalex.org/W4414018088","https://openalex.org/W4320509211"],"abstract_inverted_index":{"\u9ad8\u5206\u8fa8\u7387\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u4e00\u4e2a\u91cd\u8981\u7814\u7a76\u9886\u57df\uff0c\u5728\u6c11\u7528\u4e0e\u519b\u4e8b\u9886\u57df\u5177\u6709\u91cd\u8981\u7684\u5e94\u7528\u4ef7\u503c\u3002\u76ee\u524d\uff0c\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u81ea\u7136\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u6709\u4e86\u7a81\u7834\u6027\u8fdb\u5c55\u3002\u4f46\u662f\uff0c\u7531\u4e8e\u9065\u611f\u56fe\u50cf\u5177\u6709\u76ee\u6807\u5c3a\u5ea6\u5dee\u5f02\u5927\u4e14\u7c7b\u95f4\u76f8\u4f3c\u5ea6\u9ad8\u7684\u7279\u70b9\uff0c\u4f7f\u5f97\u5904\u7406\u81ea\u7136\u56fe\u50cf\u7684\u76ee\u6807\u68c0\u6d4b\u7b97\u6cd5\u76f4\u63a5\u5e94\u7528\u4e8e\u9065\u611f\u56fe\u50cf\u65f6\u4ecd\u9762\u4e34\u7740\u4e00\u4e9b\u6311\u6218\u3002\u9488\u5bf9\u4e0a\u8ff0\u6311\u6218\uff0c\u672c\u6587\u63d0\u51fa\u4e00\u79cd\u591a\u5206\u8fa8\u7387\u7279\u5f81\u878d\u5408\u7684\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u65b9\u6cd5\u3002\u9996\u5148\uff0c\u901a\u8fc7\u7279\u5f81\u91d1\u5b57\u5854\u63d0\u53d6\u591a\u5c3a\u5ea6\u7279\u5f81\u56fe\u5e76\u5728\u5176\u540e\u5d4c\u5165\u591a\u5206\u8fa8\u7387\u7279\u5f81\u63d0\u53d6\u7f51\u7edc\uff0c\u4fc3\u4f7f\u7f51\u7edc\u5b66\u4e60\u76ee\u6807\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u4e0b\u7684\u7279\u5f81\uff0c\u7f29\u5c0f\u4e0d\u540c\u7279\u5f81\u5c42\u4e4b\u95f4\u7684\u8bed\u4e49\u5dee\u8ddd\u3002\u5176\u6b21\uff0c\u4e3a\u5b9e\u73b0\u591a\u5206\u8fa8\u7279\u5f81\u7684\u6709\u6548\u878d\u5408\uff0c\u672c\u6587\u91c7\u7528\u81ea\u9002\u5e94\u7279\u5f81\u878d\u5408\u6a21\u5757\u6316\u6398\u66f4\u5177\u5224\u522b\u6027\u7684\u591a\u5206\u8fa8\u7279\u5f81\u8868\u8fbe\u3002\u6700\u540e\uff0c\u5c06\u81ea\u9002\u5e94\u7279\u5f81\u878d\u5408\u6a21\u5757\u7684\u8f93\u51fa\u7279\u5f81\u7684\u76f8\u90bb\u5c42\u8fdb\u884c\u6df1\u5ea6\u878d\u5408\u3002\u5728\u516c\u5f00\u7684\u9065\u611f\u56fe\u50cf\u76ee\u6807\u68c0\u6d4b\u6570\u636e\u96c6DIOR\u548cDOTA\u4e0a\u8bc4\u4f30\u4e86\u672c\u6587\u65b9\u6cd5\u7684\u6709\u6548\u6027\uff0c\u76f8\u6bd4\u91c7\u7528\u7279\u5f81\u91d1\u5b57\u5854\u7ed3\u6784\u7684Faster":[0],"R-CNN\uff0c\u672c\u6587\u65b9\u6cd5\u7684\u51c6\u786e\u7387\uff08mAP\uff09\u5206\u522b\u63d0\u9ad82.5%\u548c2.2%\u3002":[1]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-07-03T00:00:00"}
