{"id":"https://openalex.org/W2734870314","doi":"https://doi.org/10.1109/ijcnn.2017.7966386","title":"Two-dimensional spectral image calibration based on feed-forward neural network","display_name":"Two-dimensional spectral image calibration based on feed-forward neural network","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734870314","doi":"https://doi.org/10.1109/ijcnn.2017.7966386","mag":"2734870314"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5100621995","display_name":"Mingze Li","orcid":"https://orcid.org/0000-0001-7721-0768"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingze Li","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072332241","display_name":"Hasitieer Haerken","orcid":"https://orcid.org/0000-0001-7513-3316"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hasitieer Haerken","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020083340","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0002-7122-1084"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Guo","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084694395","display_name":"Fuqing Duan","orcid":"https://orcid.org/0000-0002-3849-8532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqing Duan","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081412949","display_name":"Qian Yin","orcid":"https://orcid.org/0000-0002-0354-5490"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yin","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706323","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-7585-4156"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Pattern Recognition Laboratory, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100621995"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.182,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55773361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"4194","last_page":"4201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9979000091552734,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9944000244140625,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lamost","display_name":"LAMOST","score":0.7177248001098633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6500269770622253},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6476051807403564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6051892042160034},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.5776735544204712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5575771331787109},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5063692331314087},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4417816698551178},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4318249523639679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42248135805130005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3920735716819763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3689233362674713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2668699026107788},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07601490616798401}],"concepts":[{"id":"https://openalex.org/C2778139282","wikidata":"https://www.wikidata.org/wiki/Q1513326","display_name":"LAMOST","level":3,"score":0.7177248001098633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6500269770622253},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6476051807403564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051892042160034},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5776735544204712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575771331787109},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5063692331314087},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4417816698551178},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4318249523639679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42248135805130005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3920735716819763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3689233362674713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2668699026107788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07601490616798401},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C150846664","wikidata":"https://www.wikidata.org/wiki/Q7602306","display_name":"Stars","level":2,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":22,"referenced_works":["https://openalex.org/W1559042096","https://openalex.org/W1976368871","https://openalex.org/W1992708719","https://openalex.org/W1995341919","https://openalex.org/W2005490094","https://openalex.org/W2008204335","https://openalex.org/W2015247180","https://openalex.org/W2015881065","https://openalex.org/W2040870580","https://openalex.org/W2051429545","https://openalex.org/W2089718061","https://openalex.org/W2094074895","https://openalex.org/W2108969378","https://openalex.org/W2112796928","https://openalex.org/W2124535811","https://openalex.org/W2125312481","https://openalex.org/W2125485651","https://openalex.org/W2131329059","https://openalex.org/W2137983211","https://openalex.org/W2142487171","https://openalex.org/W2553827855","https://openalex.org/W2766736793"],"related_works":["https://openalex.org/W2014737668","https://openalex.org/W2321573498","https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2158578859"],"abstract_inverted_index":{"In":[0,32],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,45],"novel":[6],"method":[7,16],"on":[8,104],"image":[9],"calibration,":[10],"utilizing":[11,72],"Total":[12],"Least":[13],"Square":[14],"(TLS)":[15],"and":[17,60,96,107,115,127],"Feedforward":[18],"Neural":[19,78],"Network,":[20],"to":[21,82],"solve":[22],"the":[23,66,73,84,90,94,119],"aberration":[24],"problem":[25],"of":[26,47,124],"LAMOST":[27],"two-dimensional":[28],"astronomical":[29],"spectral":[30,54,113,117],"images.":[31],"our":[33,130],"method,":[34,59],"training":[35],"sample":[36],"set":[37],"is":[38,80],"generated":[39],"with":[40,56],"domain":[41],"knowledge,":[42],"from":[43,53],"which":[44],"number":[46],"discrete":[48],"points":[49],"are":[50,51,63],"extracted":[52],"images":[55,114],"fiber":[57,105],"tracing":[58,106],"output":[61,97],"vectors":[62],"formed":[64],"by":[65,71,129],"corresponding":[67],"calibrated":[68,112],"points,":[69],"obtained":[70],"TLS":[74],"method.":[75,132],"The":[76],"Feed-forward":[77],"Network":[79],"trained":[81],"obtain":[83],"transformation":[85],"matrix,":[86],"casting":[87],"about":[88],"for":[89],"matching":[91],"relationship":[92],"between":[93,111],"input":[95],"sets.":[98],"We":[99],"also":[100],"perform":[101],"comparative":[102],"experiments":[103],"spectrum":[108],"extraction":[109],"results":[110,120],"uncalibrated":[116],"images,":[118],"show":[121],"an":[122],"advantage":[123],"higher":[125],"accuracy":[126],"precision":[128],"proposed":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}