{"id":"https://openalex.org/W3117255771","doi":"https://doi.org/10.1109/wcsp49889.2020.9299729","title":"The Intelligent Preparation of Scene Matching Guidance Reference Map Based on Prior Knowledge","display_name":"The Intelligent Preparation of Scene Matching Guidance Reference Map Based on Prior Knowledge","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3117255771","doi":"https://doi.org/10.1109/wcsp49889.2020.9299729","mag":"3117255771"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp49889.2020.9299729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100649446","display_name":"Chen Pan","orcid":"https://orcid.org/0000-0002-9467-4481"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Chen","raw_affiliation_strings":["Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078270333","display_name":"Yaozong Zhang","orcid":"https://orcid.org/0000-0002-3727-7957"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaozong Zhang","raw_affiliation_strings":["Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053355549","display_name":"Jinmeng Wu","orcid":"https://orcid.org/0000-0002-0264-8025"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinmeng Wu","raw_affiliation_strings":["Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006404378","display_name":"Xingxun Li","orcid":"https://orcid.org/0000-0003-0583-4138"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxun Li","raw_affiliation_strings":["Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Engineering Research Center of Video Image and HD Projection, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15932484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8240148425102234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7872317433357239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6821810007095337},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6584237217903137},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.5956829786300659},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46009013056755066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4402365982532501},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.431417852640152},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42673543095588684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2402597963809967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10364550352096558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8240148425102234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7872317433357239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6821810007095337},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6584237217903137},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.5956829786300659},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46009013056755066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4402365982532501},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.431417852640152},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42673543095588684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2402597963809967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10364550352096558},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp49889.2020.9299729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp49889.2020.9299729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Wireless Communications and Signal Processing (WCSP)","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":4,"referenced_works":["https://openalex.org/W1971671485","https://openalex.org/W2375054636","https://openalex.org/W2378176694","https://openalex.org/W2385699437"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2095030957","https://openalex.org/W2066827917"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,31,43,47,55,64,69,77,87,92,98,104,110,135,138,152,166,175,181],"problem":[3],"that":[4,137],"automatic":[6],"processing":[7],"level":[8,113],"of":[9,57,66,84,91,161,177,184],"reference":[10,26,185],"map":[11,27,186],"preparation":[12,28,187],"in":[13,151],"image":[14,44],"matching":[15,168,178],"guidance":[16],"is":[17,51,80,94,144,170],"not":[18,145,149],"high":[19],"enough,":[20],"our":[21],"work":[22],"proposes":[23],"a":[24],"novel":[25],"based":[29],"on":[30],"prior":[32],"knowledge":[33],"such":[34],"as":[35],"infrared":[36],"imaging":[37,106],"conditions":[38],"and":[39,60,86,108,120,124,164,180],"trajectory":[40,118],"information.":[41],"In":[42],"preprocessing":[45],"stage,":[46],"deep":[48],"convolution":[49],"network":[50],"used":[52],"to":[53,97,103],"extract":[54],"regions":[56],"interest":[58],"automatically":[59,95,130,171],"meanwhile,":[61],"combined":[62,116],"with":[63,117],"analysis":[65,157],"connected":[67],"region,":[68],"ROI":[70],"extraction":[71],"results":[72],"can":[73,128,133],"be":[74,129],"optimized;":[75],"Then,":[76],"natural":[78],"scene":[79,126],"classified":[81],"by":[82],"texture":[83],"material,":[85],"periodic":[88],"temperature":[89],"change":[90],"feature":[93],"mapped":[96],"gray":[99,112],"level,":[100],"which":[101,132,173],"conforms":[102],"actual":[105,153],"characteristics":[107],"reduces":[109],"artificial":[111],"error.":[114],"Next,":[115],"information":[119],"perspective":[121],"transformation,":[122],"multi-scale":[123],"multi-view":[125],"images":[127],"obtained,":[131],"avoid":[134],"situation":[136],"manually":[139],"selected":[140],"target":[141],"or":[142,147],"landmark":[143],"obvious":[146],"does":[148],"exist":[150],"imaging.":[154],"With":[155],"comprehensive":[156],"from":[158],"three":[159],"aspects":[160],"reliability,":[162],"stability":[163],"uniqueness,":[165],"best":[167],"area":[169],"determined,":[172],"improves":[174],"accuracy":[176],"algorithm":[179],"time":[182],"performance":[183],"system.":[188]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}