{"id":"https://openalex.org/W3198561967","doi":"https://doi.org/10.1109/tgrs.2021.3105182","title":"A Convolutional Neural Network-Based Relative Radiometric Calibration Method","display_name":"A Convolutional Neural Network-Based Relative Radiometric Calibration Method","publication_year":2021,"publication_date":"2021-08-25","ids":{"openalex":"https://openalex.org/W3198561967","doi":"https://doi.org/10.1109/tgrs.2021.3105182","mag":"3198561967"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3105182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3105182","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5063318300","display_name":"Xutao Li","orcid":"https://orcid.org/0000-0003-1894-984X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","Department of Computer Science, Harbin Institute of Technology, Shenzhen, China; Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1894-984X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China; Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017785762","display_name":"Zhizi Ye","orcid":"https://orcid.org/0000-0003-4137-8985"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizi Ye","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","Department of Computer Science, Harbin Institute of Technology, Shenzhen, China; Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4137-8985","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China; Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002523892","display_name":"Yunming Ye","orcid":"https://orcid.org/0000-0002-1807-8581"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Ye","raw_affiliation_strings":["Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","[Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, China, and also with Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen 518055, China (e-mail: yeyunming@hit.edu.cn)]"],"raw_orcid":"https://orcid.org/0000-0002-1807-8581","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen, China","institution_ids":[]},{"raw_affiliation_string":"[Department of Computer Science, Harbin Institute of Technology, Shenzhen 518055, China, and also with Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen 518055, China (e-mail: yeyunming@hit.edu.cn)]","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035656244","display_name":"Xiuqing Hu","orcid":"https://orcid.org/0000-0002-3020-8676"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqing Hu","raw_affiliation_strings":["Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, China","Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing, China","institution_ids":["https://openalex.org/I141301092"]},{"raw_affiliation_string":"Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China","institution_ids":["https://openalex.org/I141301092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.338,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95845783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418526411056519},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6937570571899414},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6874591112136841},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6678239107131958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5870214104652405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.501366376876831},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.496952086687088},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4964645504951477},{"id":"https://openalex.org/keywords/radiometric-calibration","display_name":"Radiometric calibration","score":0.4923611879348755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44333115220069885},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4110279977321625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14599624276161194},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10213300585746765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10211175680160522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418526411056519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6937570571899414},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6874591112136841},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6678239107131958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5870214104652405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.501366376876831},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.496952086687088},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4964645504951477},{"id":"https://openalex.org/C2778522173","wikidata":"https://www.wikidata.org/wiki/Q7281293","display_name":"Radiometric calibration","level":3,"score":0.4923611879348755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44333115220069885},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4110279977321625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14599624276161194},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10213300585746765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10211175680160522},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3105182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3105182","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1691977086","display_name":null,"funder_award_id":"2018YFB0504901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1702934063","display_name":null,"funder_award_id":"2018YFB0504900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1905070781","display_name":"\u57fa\u4e8e\u50cf\u5143\u7ea7\u4e0d\u53d8\u7279\u5f81\u7684\u9065\u611f\u5668\u54cd\u5e94\u8870\u53d8\u667a\u80fd\u81ea\u5b9a\u6807\u7814\u7a76","funder_award_id":"41871249","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1058221833","https://openalex.org/W1998595580","https://openalex.org/W2009269885","https://openalex.org/W2038001934","https://openalex.org/W2044542525","https://openalex.org/W2051103995","https://openalex.org/W2079740553","https://openalex.org/W2086668521","https://openalex.org/W2106870620","https://openalex.org/W2112796928","https://openalex.org/W2139267096","https://openalex.org/W2492283655","https://openalex.org/W2622826443","https://openalex.org/W2770233088","https://openalex.org/W2810162493","https://openalex.org/W2829067510","https://openalex.org/W2884276099","https://openalex.org/W2888302878","https://openalex.org/W2905708425","https://openalex.org/W2931790542","https://openalex.org/W2940249560","https://openalex.org/W2950516690","https://openalex.org/W2963802733","https://openalex.org/W2972931643","https://openalex.org/W2991647354","https://openalex.org/W3099831940","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6680556597","https://openalex.org/W6723293129"],"related_works":["https://openalex.org/W2393070066","https://openalex.org/W2546871836","https://openalex.org/W2136485282","https://openalex.org/W2369455241","https://openalex.org/W2076986378","https://openalex.org/W3087031885","https://openalex.org/W2886495983","https://openalex.org/W2366353390","https://openalex.org/W2347506004","https://openalex.org/W1897399969"],"abstract_inverted_index":{"Due":[0],"to":[1,12,31],"the":[2,19,33,38,50,61,66,71,94,99,114,129,137,142,161,164],"degeneration":[3],"problem":[4],"of":[5,52,74,101,163],"sensors,":[6],"calibration":[7,26,90,144],"becomes":[8],"a":[9,56,84],"prerequisite":[10],"step":[11],"retrieve":[13],"consistent":[14],"satellite":[15],"images,":[16],"especially":[17],"for":[18,46],"ones":[20],"from":[21],"long-term":[22],"time":[23,107,133],"series.":[24,134],"Relative":[25],"is":[27,55,109,126],"an":[28],"economic":[29],"manner":[30],"address":[32],"problem.":[34],"Previous":[35],"studies":[36],"leverage":[37],"identified":[39],"no-change":[40],"pixels":[41],"(NCPs)":[42],"between":[43],"two":[44,106],"images":[45],"relative":[47,89],"calibration.":[48],"However,":[49],"identification":[51],"NCPs":[53],"itself":[54],"very":[57],"hard":[58],"task":[59],"and":[60,146,155,167],"inferior":[62],"detection":[63],"quality":[64],"affects":[65],"performances":[67],"significantly.":[68],"Inspired":[69],"by":[70,112],"great":[72],"success":[73],"deep":[75],"learning":[76],"techniques,":[77],"in":[78,132],"this":[79],"article,":[80],"we":[81],"first":[82],"develop":[83],"convolutional":[85],"neural":[86],"network":[87],"(CNN)-based":[88],"method,":[91,166],"which":[92],"bypasses":[93],"NCP":[95],"detection.":[96],"In":[97],"particular,":[98],"ratio":[100],"sensor":[102],"sensitivity":[103],"coefficients":[104],"at":[105],"points":[108],"directly":[110],"estimated":[111,130],"feeding":[113],"corresponding":[115],"image":[116],"pair":[117],"into":[118],"our":[119],"developed":[120],"CNN":[121,138],"regressor.":[122],"A":[123],"polynomial":[124],"function":[125],"fitted":[127],"upon":[128],"ratios":[131],"We":[135],"train":[136],"regressor":[139],"based":[140],"on":[141,150],"multisite":[143],"results":[145,159],"then":[147],"conduct":[148],"experiments":[149],"FengYun-3A":[151],"(FY-3A),":[152],"FengYun-3B":[153],"(FY-3B),":[154],"FengYun-3C":[156],"(FY-3C).":[157],"The":[158],"validate":[160],"effectiveness":[162],"proposed":[165],"it":[168],"outperforms":[169],"state-of-the-art":[170],"NCP-based":[171],"methods.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
