{"id":"https://openalex.org/W3133499804","doi":"https://doi.org/10.3390/rs13050862","title":"Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with Receptive Field Block","display_name":"Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with Receptive Field Block","publication_year":2021,"publication_date":"2021-02-25","ids":{"openalex":"https://openalex.org/W3133499804","doi":"https://doi.org/10.3390/rs13050862","mag":"3133499804"},"language":"en","primary_location":{"id":"doi:10.3390/rs13050862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13050862","pdf_url":"https://www.mdpi.com/2072-4292/13/5/862/pdf?version=1614747945","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/2072-4292/13/5/862/pdf?version=1614747945","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091465976","display_name":"Zhichao Yuan","orcid":"https://orcid.org/0000-0002-2730-2477"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Yuan","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924541","display_name":"Ziming Liu","orcid":"https://orcid.org/0000-0002-7090-8853"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ziming Liu","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","Department of Computing, The Hong Kong Polytechnic University, Hongkong 999077, China","Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hongkong 999077, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110259795","display_name":"Chunbo Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunbo Zhu","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110962904","display_name":"Jing Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Qi","raw_affiliation_strings":["DFH Satellite Co., Ltd., Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"DFH Satellite Co., Ltd., Beijing 100094, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036886150","display_name":"Danpei Zhao","orcid":"https://orcid.org/0000-0001-6701-0471"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Danpei Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036886150"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.3894,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93748885,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"862","last_page":"862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.8055110573768616},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7444372177124023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6763859391212463},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6010139584541321},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5826823711395264},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5731526017189026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5616884231567383},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5222048163414001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46079593896865845},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4174080789089203},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41059887409210205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18942824006080627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0883621871471405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055110573768616},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7444372177124023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6763859391212463},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6010139584541321},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5826823711395264},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5731526017189026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5616884231567383},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5222048163414001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46079593896865845},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4174080789089203},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41059887409210205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18942824006080627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0883621871471405},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13050862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13050862","pdf_url":"https://www.mdpi.com/2072-4292/13/5/862/pdf?version=1614747945","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:ira.lib.polyu.edu.hk:10397/90839","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/90839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/5/862/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13050862","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 13; Issue 5; Pages: 862","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13050862","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13050862","pdf_url":"https://www.mdpi.com/2072-4292/13/5/862/pdf?version=1614747945","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":[],"awards":[{"id":"https://openalex.org/G444973788","display_name":null,"funder_award_id":"2019YFC1510905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133499804.pdf","grobid_xml":"https://content.openalex.org/works/W3133499804.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2407521645","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2587248218","https://openalex.org/W2601564443","https://openalex.org/W2613718673","https://openalex.org/W2733535455","https://openalex.org/W2768931328","https://openalex.org/W2769613401","https://openalex.org/W2770937285","https://openalex.org/W2779335303","https://openalex.org/W2790688320","https://openalex.org/W2837605352","https://openalex.org/W2888527098","https://openalex.org/W2899607431","https://openalex.org/W2904973712","https://openalex.org/W2921781974","https://openalex.org/W2952787292","https://openalex.org/W2954054736","https://openalex.org/W2962749812","https://openalex.org/W2962922273","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963202462","https://openalex.org/W2963351448","https://openalex.org/W2963604034","https://openalex.org/W2963786238","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2967895468","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2992240579","https://openalex.org/W3012573144","https://openalex.org/W3048939508","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W3150439626","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W2060887160","https://openalex.org/W4380302312","https://openalex.org/W4390971171","https://openalex.org/W2368367751","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Object":[0],"detection":[1,88,111,136],"in":[2,26,65,181,187,198],"optical":[3],"remote":[4,163],"sensing":[5,164],"images":[6],"(ORSIs)":[7],"remains":[8],"a":[9,39,69,134,152],"difficult":[10],"task":[11],"because":[12],"ORSIs":[13,199],"always":[14],"have":[15],"some":[16],"specific":[17],"characteristics":[18],"such":[19],"as":[20,79],"scale-differences":[21,64],"between":[22],"classes,":[23],"numerous":[24],"instances":[25],"one":[27],"image":[28],"and":[29,54,61,144,167,184],"complex":[30,113,201],"background":[31],"texture.":[32],"To":[33],"address":[34],"these":[35],"problems,":[36],"we":[37,169],"propose":[38],"new":[40],"Multi-Feature":[41,70],"Pyramid":[42,71],"Network":[43],"(MFPNet)":[44],"with":[45,63,74],"Receptive":[46],"Field":[47],"Block":[48],"(RFB)":[49],"that":[50,171],"integrates":[51],"both":[52],"local":[53,99],"global":[55],"features":[56],"to":[57,97,120,122,140,146],"detect":[58],"scattered":[59],"objects":[60,110],"targets":[62],"ORSIs.":[66],"We":[67],"build":[68],"Module":[72],"(M-FPM)":[73],"two":[75,160],"cascaded":[76],"convolution":[77,116],"pyramids":[78],"the":[80,104,109,124,142,156,193],"main":[81],"structure":[82],"of":[83,89,126,155,195,200],"MFPNet,":[84],"which":[85,102],"handles":[86],"object":[87],"different":[90],"scales":[91],"very":[92],"well.":[93],"RFB":[94,121,145],"is":[95,118,138],"designed":[96],"construct":[98],"context":[100],"information,":[101],"makes":[103],"network":[105,137],"more":[106,148],"suitable":[107],"for":[108,177],"around":[112],"background.":[114],"Asymmetric":[115],"kernel":[117],"introduced":[119],"improve":[123],"ability":[125],"feature":[127],"attraction":[128],"by":[129],"adding":[130],"nonlinear":[131],"transformation.":[132],"Then,":[133],"two-step":[135],"constructed":[139],"combine":[141],"M-FPM":[143],"obtain":[147],"accurate":[149],"results.":[150],"Through":[151],"comprehensive":[153],"evaluation":[154],"experimental":[157],"results":[158,191],"on":[159],"publicly":[161],"available":[162],"datasets":[165],"Levir":[166,182],"DIOR,":[168],"demonstrate":[170],"our":[172,196],"method":[173,197],"outperforms":[174],"state-of-the-art":[175],"networks":[176],"about":[178],"1.3%":[179],"mAP":[180,186],"dataset":[183],"4.1%":[185],"DIOR":[188],"dataset.":[189],"Experimental":[190],"prove":[192],"effectiveness":[194],"environments.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2021-03-15T00:00:00"}
