{"id":"https://openalex.org/W4381250178","doi":"https://doi.org/10.1109/access.2023.3287632","title":"NIR-VGGNet19: A Novel Deep Convolutional Neural Network for Pinus NIR Spectra Classification","display_name":"NIR-VGGNet19: A Novel Deep Convolutional Neural Network for Pinus NIR Spectra Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381250178","doi":"https://doi.org/10.1109/access.2023.3287632"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3287632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287632","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155431.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155431.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033247962","display_name":"Zihao Wan","orcid":"https://orcid.org/0000-0001-9937-4165"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Wan","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721825","display_name":"Hong Yang","orcid":"https://orcid.org/0000-0002-9662-8040"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yang","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577487","display_name":"Mingyu Gao","orcid":"https://orcid.org/0000-0003-4678-6937"},"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":"Mingyu Gao","raw_affiliation_strings":["School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, P.R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101275924","display_name":"Jipan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipan Xu","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongbo Mu","orcid":"https://orcid.org/0009-0009-2690-2778"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Mu","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":"https://orcid.org/0009-0009-2690-2778","affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101874838","display_name":"Dawei Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Qi","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112940633","display_name":"Shuxia Han","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxia Han","raw_affiliation_strings":["College of Science, Northeast Forestry University, Harbin, China","College of Science, Northeast Forestry University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"College of Science, Northeast Forestry University, Harbin, P.R. China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5033247962"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7233,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65826787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"62721","last_page":"62732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.8096632361412048},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.80855393409729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7135055065155029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7026557922363281},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6783485412597656},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5938001871109009},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5498457551002502},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.5396677255630493},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4208424687385559},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41006723046302795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8096632361412048},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.80855393409729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7135055065155029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7026557922363281},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6783485412597656},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5938001871109009},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5498457551002502},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.5396677255630493},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4208424687385559},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41006723046302795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3287632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287632","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155431.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3e5a73cb5e234782aad43f8e4c406b64","is_oa":true,"landing_page_url":"https://doaj.org/article/3e5a73cb5e234782aad43f8e4c406b64","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 62721-62732 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3287632","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287632","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10155431.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1251607434","display_name":null,"funder_award_id":"2572020BC07","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3227988184","display_name":null,"funder_award_id":"No.31570712","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6820251017","display_name":null,"funder_award_id":"31570712","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7416188805","display_name":null,"funder_award_id":"No.2572020BC07","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381250178.pdf","grobid_xml":"https://content.openalex.org/works/W4381250178.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1993014433","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2564339002","https://openalex.org/W2586733088","https://openalex.org/W2611399969","https://openalex.org/W2618530766","https://openalex.org/W2744790985","https://openalex.org/W2752648613","https://openalex.org/W2752782242","https://openalex.org/W2963446712","https://openalex.org/W3034608586","https://openalex.org/W3048309112","https://openalex.org/W3106887146","https://openalex.org/W3112340982","https://openalex.org/W3173917753","https://openalex.org/W4214665140","https://openalex.org/W4220733505","https://openalex.org/W4221161418","https://openalex.org/W4319924581","https://openalex.org/W4360980029","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6682889407","https://openalex.org/W6725739302","https://openalex.org/W6735013348","https://openalex.org/W6743857799","https://openalex.org/W6787759089"],"related_works":["https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740","https://openalex.org/W4367299891","https://openalex.org/W4367365565"],"abstract_inverted_index":{"Wood":[0],"is":[1,16,37,128],"an":[2,8,80],"indispensable":[3],"non-renewable":[4],"resource":[5],"and":[6,61,114,148],"plays":[7],"important":[9],"role":[10],"in":[11],"our":[12],"life.":[13],"So,":[14],"it":[15,155],"a":[17,27,50,94],"necessity":[18],"to":[19,39,55,83,89],"apply":[20],"accurate":[21,86],"classification":[22,95,125],"techniques.":[23],"In":[24],"this":[25],"paper,":[26],"novel":[28],"model":[29],"of":[30,65,97,132,135,138,141,144,150,164,167],"deep":[31,51],"one-dimensional":[32],"convolutional":[33,52,76],"neural":[34,53,112,146],"network":[35,54],"NIR-VGGNet19":[36,48,92,105,121,159],"proposed":[38],"classify":[40],"seven":[41],"pius":[42],"wood":[43,166],"by":[44,73],"combining":[45],"near-infrared":[46],"spectroscopy.":[47],"uses":[49,79],"automatically":[56],"extract":[57,84],"features,":[58],"eliminate":[59],"noise,":[60],"solve":[62],"the":[63,90,100,123,158,162,168],"problem":[64],"spectral":[66],"overlapping":[67],"peaks;":[68],"Initially":[69],"eliminates":[70],"random":[71],"noise":[72],"adding":[74],"1\u00d77":[75],"kernels;":[77],"then":[78],"attention":[81],"mechanism":[82],"more":[85],"features.":[87],"According":[88],"results,":[91],"achieved":[93],"accuracy":[96,163],"98.41%":[98],"on":[99],"test":[101],"set.":[102],"When":[103],"comparing":[104],"with":[106],"LeNet,":[107,133],"AlexNet,":[108,136],"VGGNet-19,":[109,139],"ResNet-34,":[110,142],"backpropagation":[111,145],"network,":[113,147],"support":[115,151],"vector":[116,152],"machine":[117],"for":[118],"testing":[119],"respectively,":[120],"has":[122],"best":[124],"accuracy,":[126],"which":[127],"higher":[129],"than":[130],"70.95%":[131],"92.54%":[134],"93.02%":[137],"96.67%":[140],"76.19%":[143],"71.26%":[149],"machine.":[153],"Thus,":[154],"suggests":[156],"that":[157],"can":[160],"improve":[161],"classifying":[165],"homogeneous":[169],"genus.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
