{"id":"https://openalex.org/W4200309774","doi":"https://doi.org/10.1109/iccais52680.2021.9624648","title":"A Fine-Grained Object Detection Framework Based on Fixed ROI Masking and Feature Optimization in Optical Remote Sensing Images","display_name":"A Fine-Grained Object Detection Framework Based on Fixed ROI Masking and Feature Optimization in Optical Remote Sensing Images","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W4200309774","doi":"https://doi.org/10.1109/iccais52680.2021.9624648"},"language":"en","primary_location":{"id":"doi:10.1109/iccais52680.2021.9624648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"article","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":null,"display_name":"Zhang Xiaohan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Xiaohan","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007396281","display_name":"Yafei Lv","orcid":"https://orcid.org/0000-0002-2779-5099"},"institutions":[{"id":"https://openalex.org/I4402554106","display_name":"Naval Research Academy","ror":"https://ror.org/02t42bb94","country_code":null,"type":"education","lineage":["https://openalex.org/I4402554106"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Yafei","raw_affiliation_strings":["Naval Research Institute of PLA, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Naval Research Institute of PLA, Beijing, China","institution_ids":["https://openalex.org/I4402554106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032331624","display_name":"Bi Aipeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bi Aipeng","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Jianming","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Jianming","raw_affiliation_strings":["Beijing Institute of Remote Sensing Information, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Information, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yao Libo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Libo","raw_affiliation_strings":["Information Fusion Institute, Naval Aviation University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Information Fusion Institute, Naval Aviation University, Yantai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.1314,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49413112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"130","last_page":"134"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.7700783014297485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7435164451599121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6958661079406738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6954491138458252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6899582147598267},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.570749819278717},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5095072388648987},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4760330021381378},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47495555877685547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4060107171535492}],"concepts":[{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.7700783014297485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7435164451599121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6958661079406738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6954491138458252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6899582147598267},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.570749819278717},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5095072388648987},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4760330021381378},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47495555877685547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4060107171535492},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais52680.2021.9624648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624648","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1797268635","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2308318555","https://openalex.org/W2594177559","https://openalex.org/W2797977484","https://openalex.org/W2898100092","https://openalex.org/W2914924014","https://openalex.org/W2945164022","https://openalex.org/W2963150697","https://openalex.org/W2964979676","https://openalex.org/W3106250896","https://openalex.org/W6638319203","https://openalex.org/W6639102338"],"related_works":["https://openalex.org/W3081694532","https://openalex.org/W1969211203","https://openalex.org/W1517958729","https://openalex.org/W2092272653","https://openalex.org/W1992704972","https://openalex.org/W271627879","https://openalex.org/W2349444258","https://openalex.org/W1985388337","https://openalex.org/W4290729391","https://openalex.org/W2002555665"],"abstract_inverted_index":{"Fine-grained":[0],"object":[1,29],"detection":[2,30,49],"in":[3,31,83,122],"images":[4,35],"aims":[5],"at":[6],"providing":[7],"both":[8],"precise":[9],"positions":[10],"and":[11,55,70,108],"fine-grained":[12,28,48],"categories":[13],"of":[14,16,42,103,127,142],"objects":[15],"interest,":[17],"which":[18],"is":[19,36,59,65,97,114],"a":[20,52,56,91,109],"challenging":[21],"but":[22],"meaningful":[23],"task.":[24],"In":[25],"this":[26],"paper,":[27],"optical":[32],"remote":[33],"sensing":[34],"explored.":[37],"To":[38],"address":[39],"the":[40,71,77,84,101,118,129,140,143],"inefficiency":[41],"previous":[43],"methods,":[44],"firstly":[45],"an":[46],"end-to-end":[47],"framework":[50],"with":[51,105,135],"localization":[53],"branch":[54,58,124],"classification":[57,123],"proposed.":[60],"Convolutional":[61],"Neural":[62],"Network":[63],"(CNN)":[64],"used":[66],"for":[67],"feature":[68,120],"extraction":[69],"shallow":[72],"features":[73,82,102],"are":[74,87],"shared":[75],"by":[76,125],"two":[78,85],"branches,":[79],"while":[80],"high-level":[81],"branches":[86],"learned":[88],"independently.":[89],"Then":[90],"novel":[92],"fixed":[93,106],"ROI":[94,119],"Masking":[95],"method":[96],"designed":[98],"to":[99,116,132],"extract":[100],"ROIs":[104],"size":[107],"grouped":[110],"spatial":[111],"attention":[112],"mechanism":[113],"proposed":[115,144],"enhance":[117],"maps":[121],"means":[126],"teaching":[128],"network":[130],"\u201cwhere":[131],"see\u201d.":[133],"Experiments":[134],"Google":[136],"Earth":[137],"data":[138],"prove":[139],"effectiveness":[141],"method.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
