{"id":"https://openalex.org/W4394862790","doi":"https://doi.org/10.1109/access.2024.3388418","title":"SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging","display_name":"SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394862790","doi":"https://doi.org/10.1109/access.2024.3388418"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3388418","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388418","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499241.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/ielx7/6287639/6514899/10499241.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066229673","display_name":"Chao Zhou","orcid":"https://orcid.org/0009-0000-6107-6250"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Zhou","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000496166","display_name":"Zhenye Li","orcid":"https://orcid.org/0000-0001-8087-993X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenye Li","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018361664","display_name":"Dongyi Wang","orcid":"https://orcid.org/0000-0002-1224-5529"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongyi Wang","raw_affiliation_strings":["Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090243512","display_name":"Sheng Xue","orcid":"https://orcid.org/0000-0001-5923-1119"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Xue","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061149885","display_name":"Tingting Zhu","orcid":"https://orcid.org/0000-0003-1410-4866"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhu","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102888366","display_name":"Chao Ni","orcid":"https://orcid.org/0000-0002-3492-627X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ni","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066229673"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4564,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54387835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"55134","last_page":"55145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9785000085830688,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9479312896728516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453371047973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279129147529602},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4417407512664795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4383270740509033},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4250972867012024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4168339669704437},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3521556854248047},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07066279649734497}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9479312896728516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453371047973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279129147529602},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4417407512664795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4383270740509033},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4250972867012024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4168339669704437},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3521556854248047},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07066279649734497},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3388418","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388418","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499241.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:f833bf9112e84b579002b5670df17f12","is_oa":true,"landing_page_url":"https://doaj.org/article/f833bf9112e84b579002b5670df17f12","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 55134-55145 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3388418","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3388418","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499241.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/3","score":0.6499999761581421,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1560975092","display_name":null,"funder_award_id":"6200612","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4810815692","display_name":null,"funder_award_id":"62006120","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8429380377","display_name":null,"funder_award_id":"31570714","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394862790.pdf","grobid_xml":"https://content.openalex.org/works/W4394862790.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2749000375","https://openalex.org/W2794951181","https://openalex.org/W2883780447","https://openalex.org/W2963163009","https://openalex.org/W2971754179","https://openalex.org/W2984306354","https://openalex.org/W2998780022","https://openalex.org/W3002674187","https://openalex.org/W3007689421","https://openalex.org/W3009099638","https://openalex.org/W3010907323","https://openalex.org/W3013120195","https://openalex.org/W3038128399","https://openalex.org/W3075397214","https://openalex.org/W3087356534","https://openalex.org/W3088162569","https://openalex.org/W3094288436","https://openalex.org/W3094704314","https://openalex.org/W3159707467","https://openalex.org/W3196410189","https://openalex.org/W3197137080","https://openalex.org/W3217592763","https://openalex.org/W4210247145","https://openalex.org/W4224882649","https://openalex.org/W4286493286","https://openalex.org/W4288825973"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2051282630","https://openalex.org/W2000725643","https://openalex.org/W2347907334"],"abstract_inverted_index":{"Tobacco":[0],"stems":[1,19],"are":[2],"a":[3,21,113],"critical":[4],"component":[5],"in":[6,9,17,52,58,91,106,116,125,138],"cigarette":[7],"production":[8],"China.":[10],"However,":[11],"accurately":[12],"and":[13,47,110],"promptly":[14],"identifying":[15],"impurities":[16,51],"tobacco":[18,53,126],"remains":[20],"challenge":[22],"with":[23,64,77],"current":[24],"deep":[25],"learning":[26],"methods,":[27],"often":[28],"failing":[29],"to":[30,62,121],"meet":[31],"industry":[32],"standards.":[33],"This":[34],"study":[35],"introduces":[36],"the":[37,65,74,117],"Spectral-Spatial":[38],"Network":[39],"(SSNet),":[40],"which":[41],"is":[42],"specifically":[43],"optimized":[44],"for":[45,135],"rapid":[46],"precise":[48],"detection":[49,124],"of":[50,68,83,108],"stems,":[54],"leveraging":[55],"spatial":[56,84],"information":[57,85],"hyperspectral":[59,79],"imaging.":[60],"Designed":[61],"align":[63],"high-speed":[66],"requirements":[67],"industrial":[69,140],"processing,":[70],"SSNet":[71,101],"effectively":[72],"overcomes":[73],"complexities":[75],"associated":[76],"analyzing":[78],"data.":[80],"The":[81],"integration":[82],"particularly":[86],"enhances":[87],"recognition":[88],"accuracy,":[89,111],"especially":[90],"areas":[92],"affected":[93],"by":[94],"fringe":[95],"patterns.":[96],"Our":[97],"experiments":[98],"reveal":[99],"that":[100],"significantly":[102],"outperforms":[103],"traditional":[104],"methods":[105],"terms":[107],"speed":[109],"marking":[112],"substantial":[114],"advancement":[115],"shift":[118],"from":[119],"manual":[120],"automated":[122],"impurity":[123],"processing.":[127],"Furthermore,":[128],"SSNet\u2019s":[129],"successful":[130],"application":[131],"highlights":[132],"its":[133],"potential":[134],"broader":[136],"uses":[137],"various":[139],"image":[141],"processing":[142],"tasks.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
