{"id":"https://openalex.org/W3206875577","doi":"https://doi.org/10.1109/igarss47720.2021.9553926","title":"One-Stage Detector from Coarse to Fine for Rotating Object of Remote Sensing","display_name":"One-Stage Detector from Coarse to Fine for Rotating Object of Remote Sensing","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206875577","doi":"https://doi.org/10.1109/igarss47720.2021.9553926","mag":"3206875577"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100437415","display_name":"Zhiguo Li","orcid":"https://orcid.org/0000-0002-7238-3886"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049261432","display_name":"Dandan Ma","orcid":"https://orcid.org/0000-0003-3511-5636"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Ma","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P.R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5307","last_page":"5310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7464269995689392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334910035133362},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7288600206375122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672863960266113},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6081128120422363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6001492142677307},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5986971855163574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5655829906463623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5630471706390381},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5593107342720032},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5560229420661926},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5294275879859924},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5038048624992371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4405371844768524},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43819111585617065},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.41640400886535645},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.41339343786239624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16251781582832336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15049082040786743},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09782803058624268},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07008573412895203}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7464269995689392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334910035133362},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7288600206375122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672863960266113},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6081128120422363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6001492142677307},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5986971855163574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5655829906463623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5630471706390381},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5593107342720032},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5560229420661926},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5294275879859924},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5038048624992371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4405371844768524},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43819111585617065},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.41640400886535645},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.41339343786239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16251781582832336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15049082040786743},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09782803058624268},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07008573412895203},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2582794421","display_name":null,"funder_award_id":"2020YFB2103902","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2962749812","https://openalex.org/W2963351448","https://openalex.org/W2967487473","https://openalex.org/W2987685566","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W3097779785","https://openalex.org/W3174873843","https://openalex.org/W6766860876"],"related_works":["https://openalex.org/W4387838477","https://openalex.org/W2067193074","https://openalex.org/W2182785089","https://openalex.org/W3107426390","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W1534368937","https://openalex.org/W4312624109","https://openalex.org/W3175683656","https://openalex.org/W2892553522"],"abstract_inverted_index":{"Rotation":[0],"detection":[1,149],"has":[2,21],"become":[3],"a":[4,18,57,114],"popular":[5],"topic":[6],"in":[7,13,28],"the":[8,48,80,89,98,103,107,121,130,136],"field":[9],"of":[10,42,91],"remote":[11,43],"sensing":[12,44],"recent":[14],"years.":[15],"Although":[16],"quite":[17],"few":[19],"progress":[20],"been":[22],"made,":[23],"some":[24],"challenges":[25],"still":[26],"exist":[27],"feature":[29],"alignment":[30],"and":[31,39,75,101,139],"regression":[32,73,104,117,123,132],"accuracy":[33],"due":[34],"to":[35,63,112],"large":[36],"aspect":[37,95],"ratio":[38],"arbitrary":[40],"orientations":[41],"objects,":[45],"especially":[46],"for":[47,65,151],"one-stage":[49,59],"detectors.":[50],"To":[51,68],"address":[52],"these":[53],"problems,":[54],"we":[55,78,119],"propose":[56],"novel":[58],"detector":[60],"from":[61],"coarse":[62,131],"fine":[64],"rotating":[66,152],"objects.":[67,153],"alleviate":[69],"misalignment":[70],"problem":[71],"between":[72],"features":[74,90,105],"classification":[76,109],"features,":[77],"construct":[79],"Feature":[81],"Alignment":[82],"Block":[83],"(FAB).":[84],"It":[85],"can":[86,127],"flexibly":[87],"extract":[88],"objects":[92],"with":[93,106],"different":[94],"ratios":[96],"by":[97],"deformable":[99],"convolution":[100],"align":[102],"corresponding":[108],"features.":[110],"Moreover,":[111],"obtain":[113],"more":[115],"accurate":[116],"estimate,":[118],"design":[120],"refined":[122],"head":[124],"(RRH)":[125],"that":[126,143],"effectively":[128],"fine-tune":[129],"position.":[133],"Experiments":[134],"on":[135],"public":[137],"DOTA":[138],"HRSC2016":[140],"datasets":[141],"demonstrate":[142],"our":[144],"proposed":[145],"method":[146],"shows":[147],"excellent":[148],"performance":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
