{"id":"https://openalex.org/W3196889848","doi":"https://doi.org/10.1109/icpr48806.2021.9412860","title":"Adaptive Remote Sensing Image Attribute Learning for Active Object Detection","display_name":"Adaptive Remote Sensing Image Attribute Learning for Active Object Detection","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3196889848","doi":"https://doi.org/10.1109/icpr48806.2021.9412860","mag":"3196889848"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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":"https://openalex.org/A5101486827","display_name":"Nuo Xu","orcid":"https://orcid.org/0000-0003-2586-5804"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Nuo Xu","raw_affiliation_strings":["NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Chunlei Huo","raw_affiliation_strings":["NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936083","display_name":"Jiacheng Guo","orcid":"https://orcid.org/0000-0003-3238-4275"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Guo","raw_affiliation_strings":["Beijing Information Science and Technology University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348075","display_name":"Yiwei Liu","orcid":"https://orcid.org/0000-0001-5572-8304"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Liu","raw_affiliation_strings":["Beijing University of Civil Engineering and Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066719472","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-9729-6052"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["College of Robotics, Beijing Union University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Robotics, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435212","display_name":"Chunhong Pan","orcid":"https://orcid.org/0000-0001-7433-4474"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Pan","raw_affiliation_strings":["NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NLPR, Institute of Automation, Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101486827"],"corresponding_institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.4986,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68924471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973999857902527,"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/object-detection","display_name":"Object detection","score":0.814211368560791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8045175075531006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7955870628356934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.702800989151001},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.48596203327178955},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45712748169898987},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4524281919002533},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4448685646057129},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4305071532726288},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4274938106536865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35734739899635315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2911249101161957},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.13669341802597046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06412944197654724}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.814211368560791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045175075531006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7955870628356934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.702800989151001},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.48596203327178955},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45712748169898987},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4524281919002533},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4448685646057129},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4305071532726288},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4274938106536865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35734739899635315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2911249101161957},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.13669341802597046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06412944197654724},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2170641285","display_name":null,"funder_award_id":"62071466,91646207","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1484210532","https://openalex.org/W1771410628","https://openalex.org/W2016765487","https://openalex.org/W2096001037","https://openalex.org/W2096473256","https://openalex.org/W2144691386","https://openalex.org/W2145339207","https://openalex.org/W2155968351","https://openalex.org/W2168356304","https://openalex.org/W2179488730","https://openalex.org/W2257979135","https://openalex.org/W2551640181","https://openalex.org/W2553303224","https://openalex.org/W2556833785","https://openalex.org/W2565639579","https://openalex.org/W2567210518","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2613718673","https://openalex.org/W2738318237","https://openalex.org/W2746553466","https://openalex.org/W2766447205","https://openalex.org/W2949191055","https://openalex.org/W2950800384","https://openalex.org/W2951303555","https://openalex.org/W2962845320","https://openalex.org/W2963351448","https://openalex.org/W2963374479","https://openalex.org/W2963604034","https://openalex.org/W2963650529","https://openalex.org/W2963786238","https://openalex.org/W2963791342","https://openalex.org/W2963864421","https://openalex.org/W2963967766","https://openalex.org/W2964036520","https://openalex.org/W2964241181","https://openalex.org/W2964343197","https://openalex.org/W3012573144","https://openalex.org/W3106250896","https://openalex.org/W4295185264","https://openalex.org/W6628927728","https://openalex.org/W6638018090","https://openalex.org/W6684921986","https://openalex.org/W6714138976","https://openalex.org/W6729805386","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6731576158","https://openalex.org/W6732243160","https://openalex.org/W6741072788","https://openalex.org/W6753494528","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2901758161","https://openalex.org/W4205668735","https://openalex.org/W3204852000","https://openalex.org/W3126664501","https://openalex.org/W3209429418","https://openalex.org/W4297540035","https://openalex.org/W4312834249","https://openalex.org/W2997780656","https://openalex.org/W2582431195","https://openalex.org/W4366374902"],"abstract_inverted_index":{"In":[0,66],"recent":[1],"years,":[2],"deep":[3,93],"learning":[4,102],"methods":[5,25],"bring":[6],"incredible":[7],"progress":[8],"to":[9,68,104],"the":[10,17,27,41,57,61,70,106,110,130,137],"field":[11,18],"of":[12,19,43,60,98,112],"object":[13,63,88,114],"detection.":[14],"However,":[15],"in":[16],"remote":[20],"sensing":[21],"image":[22,49,100,117],"processing,":[23],"existing":[24],"neglect":[26],"relationship":[28],"between":[29],"imaging":[30],"configuration":[31],"and":[32,35,79,84,116,129],"detection":[33,44,52,64,89,107,115],"performance,":[34],"do":[36],"not":[37],"take":[38],"into":[39,126],"account":[40],"importance":[42],"performance":[45,53,132],"feedback":[46],"for":[47],"improving":[48],"quality.":[50],"Therefore,":[51],"is":[54,103,133],"limited":[55],"by":[56],"passive":[58],"nature":[59],"conventional":[62],"framework.":[65],"order":[67],"solve":[69],"above":[71],"limitations,":[72],"this":[73],"paper":[74],"takes":[75],"adaptive":[76,99],"brightness":[77],"adjustment":[78,81,119],"scale":[80],"as":[82],"examples,":[83],"proposes":[85],"an":[86],"active":[87,113],"method":[90],"based":[91],"on":[92],"reinforcement":[94],"learning.":[95],"The":[96],"goal":[97],"attribute":[101,118],"maximize":[105],"performance.":[108],"With":[109],"help":[111],"strategies,":[120],"low-quality":[121],"images":[122],"can":[123],"be":[124],"converted":[125],"high-quality":[127],"images,":[128],"overall":[131],"improved":[134],"without":[135],"retraining":[136],"detector.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}