{"id":"https://openalex.org/W4317039490","doi":"https://doi.org/10.3233/jcm-226674","title":"Intelligent recognition method of laser image based on big data analysis technology","display_name":"Intelligent recognition method of laser image based on big data analysis technology","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4317039490","doi":"https://doi.org/10.3233/jcm-226674"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226674","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226674","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5100331548","display_name":"Cong Li","orcid":"https://orcid.org/0000-0001-7593-1692"},"institutions":[{"id":"https://openalex.org/I4210144733","display_name":"Yellow River Conservancy Technical Institute","ror":"https://ror.org/0420zk903","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144733"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Li","raw_affiliation_strings":["Department of Information Engineering, Yellow River Conservancy Technical Institute, Kaifeng, Henan 475004, China","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Yellow River Conservancy Technical Institute, Kaifeng, Henan 475004, China","institution_ids":["https://openalex.org/I4210144733"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100331548"],"corresponding_institution_ids":["https://openalex.org/I4210144733"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.1731,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39115238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"23","issue":"3","first_page":"1601","last_page":"1615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14158","display_name":"Optical Systems and Laser Technology","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.984499990940094,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7941194176673889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7363718748092651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6426112055778503},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.580867350101471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5370413661003113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49452850222587585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4781666398048401},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4739891588687897},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09829485416412354}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7941194176673889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363718748092651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6426112055778503},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.580867350101471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5370413661003113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49452850222587585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4781666398048401},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4739891588687897},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09829485416412354},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226674","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226674","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2968675796","https://openalex.org/W2995102092","https://openalex.org/W3012218130","https://openalex.org/W3028757181","https://openalex.org/W3092823203","https://openalex.org/W3134932332","https://openalex.org/W3135579708","https://openalex.org/W3137061145","https://openalex.org/W3198485752","https://openalex.org/W3202703072","https://openalex.org/W3204334464","https://openalex.org/W4200603282","https://openalex.org/W4205308541","https://openalex.org/W6784253185"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2082269393"],"abstract_inverted_index":{"In":[0,52],"order":[1,53],"to":[2,54,83,100,128,151],"improve":[3],"the":[4,27,32,39,46,56,62,85,102,108,114,131,139,152,164,171],"recognition":[5,15,143,172,181],"effect":[6],"of":[7,17,29,49,58,64,88,104,134,144],"laser":[8,18,33,40,65,89,105,135,145,168],"images,":[9,90,136,169],"this":[10,159],"study":[11],"designed":[12],"an":[13],"intelligent":[14,140],"method":[16,48,160],"images":[19,146],"based":[20,112],"on":[21,113],"big":[22,115],"data":[23,87,116,124],"analysis":[24,117],"technology.":[25],"On":[26],"basis":[28],"setting":[30],"up":[31],"holographic":[34],"scanning":[35],"device":[36],"and":[37,91,137,142,170,179],"parameters,":[38],"image":[41,66],"is":[42,75,81,98,119],"obtained":[43],"by":[44],"using":[45],"calibration":[47],"vision":[50],"system.":[51],"avoid":[55],"limitation":[57],"coordinate":[59],"system":[60],"in":[61,167],"process":[63],"recognition,":[67],"a":[68],"rational":[69],"function":[70],"model":[71,111],"with":[72],"general":[73],"attributes":[74],"constructed.":[76,120],"Then,":[77],"convolutional":[78],"neural":[79],"network":[80],"used":[82,99],"output":[84,130],"feature":[86,123],"Spark":[92],"parallel":[93],"support":[94],"vector":[95],"machine":[96],"algorithm":[97],"complete":[101],"classification":[103,110,132,141],"images.":[106],"Finally,":[107],"SVM":[109],"technology":[118],"The":[121],"texture":[122],"can":[125,147,161],"be":[126,148],"input":[127],"quickly":[129],"results":[133,156,173],"then":[138],"realized":[149],"according":[150],"probability":[153],"distribution.":[154],"Experimental":[155],"show":[157],"that":[158],"accurately":[162],"identify":[163],"tiny":[165],"features":[166],"have":[174],"high":[175,180],"peak":[176],"signal-to-noise":[177],"ratio":[178],"accuracy.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
