{"id":"https://openalex.org/W2974066798","doi":"https://doi.org/10.1109/access.2019.2941872","title":"Classification of Hyperspectral Image by CNN Based on Shadow Area Enhancement Through Dynamic Stochastic Resonance","display_name":"Classification of Hyperspectral Image by CNN Based on Shadow Area Enhancement Through Dynamic Stochastic Resonance","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974066798","doi":"https://doi.org/10.1109/access.2019.2941872","mag":"2974066798"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2941872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840860.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08840860.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100400563","display_name":"Xuefeng Liu","orcid":"https://orcid.org/0000-0003-2705-8731"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuefeng Liu","raw_affiliation_strings":["College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-7299-5455"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926455","display_name":"Yue Meng","orcid":"https://orcid.org/0000-0003-0204-4819"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Meng","raw_affiliation_strings":["College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101640188","display_name":"Min Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Fu","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100400563"],"corresponding_institution_ids":["https://openalex.org/I143413998"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0079,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.76603905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"134862","last_page":"134870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8059420585632324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7765247821807861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6895195841789246},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6517108082771301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.637281060218811},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.581737756729126},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.574247419834137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5155037045478821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2585407495498657}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8059420585632324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7765247821807861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895195841789246},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6517108082771301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.637281060218811},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.581737756729126},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.574247419834137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5155037045478821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2585407495498657},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2941872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840860.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fb19691f69e848a1b2a1d81d7ee82c0f","is_oa":true,"landing_page_url":"https://doaj.org/article/fb19691f69e848a1b2a1d81d7ee82c0f","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 134862-134870 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2941872","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941872","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08840860.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/7","score":0.7699999809265137,"display_name":"Affordable and clean energy"}],"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/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3248542210","display_name":null,"funder_award_id":"61971253","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/G5424657756","display_name":null,"funder_award_id":"61773227","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"}],"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/W2974066798.pdf","grobid_xml":"https://content.openalex.org/works/W2974066798.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1985242206","https://openalex.org/W2090424610","https://openalex.org/W2100921418","https://openalex.org/W2116967254","https://openalex.org/W2117281335","https://openalex.org/W2128254161","https://openalex.org/W2147800946","https://openalex.org/W2164847484","https://openalex.org/W2257307118","https://openalex.org/W2341093435","https://openalex.org/W2572303978","https://openalex.org/W2576611382","https://openalex.org/W2581546270","https://openalex.org/W2618530766","https://openalex.org/W2764108700","https://openalex.org/W2767805377","https://openalex.org/W2803770679","https://openalex.org/W2884059177","https://openalex.org/W2887785636","https://openalex.org/W2891078019","https://openalex.org/W2907121403","https://openalex.org/W2914648774","https://openalex.org/W2917647353","https://openalex.org/W2920899877","https://openalex.org/W2928182459","https://openalex.org/W2930653063","https://openalex.org/W2946300279","https://openalex.org/W2948238009","https://openalex.org/W2951344142","https://openalex.org/W2954284176","https://openalex.org/W4253106336"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Target":[0],"detection":[1],"and":[2,65,91,117,165,175],"classification":[3,189],"in":[4,18,35,98,162,201],"the":[5,19,36,57,68,80,108,121,130,134,148,153,163,166,173,176,188,202],"shadow":[6,37,109,132,181],"area":[7,38,110],"of":[8,21,41,43,60,70,112,179],"hyperspectral":[9],"images":[10],"(HSIs)":[11],"has":[12,92,159],"always":[13],"been":[14,93,160],"an":[15],"important":[16],"problem":[17],"field":[20],"HSI":[22,113,123,136,158,180],"data":[23,124],"processing.":[24],"However,":[25],"there":[26],"are":[27],"few":[28],"methods":[29],"to":[30,95,146,184],"detect":[31],"or":[32,45],"classify":[33,147],"targets":[34,196],"effectively":[39],"because":[40],"occlusion":[42],"objects":[44],"oblique":[46],"solar":[47],"radiation.":[48],"Dynamic":[49],"stochastic":[50],"resonance":[51],"(DSR)":[52],"theory":[53],"shows":[54],"that":[55,82,169],"under":[56],"synergistic":[58],"action":[59],"weak":[61],"input":[62],"signal,":[63],"noise":[64,71,90],"non-linear":[66],"system,":[67],"energy":[69],"can":[72,84,125,171],"be":[73,85,96,126],"transferred":[74],"into":[75,107],"signal":[76,83],"partially.":[77],"It":[78],"breaks":[79],"idea":[81],"enhanced":[86,122,149],"only":[87],"by":[88,128],"eliminating":[89],"proved":[94],"effective":[97],"many":[99],"fields.":[100],"In":[101],"this":[102],"paper,":[103],"DSR":[104,170],"is":[105,144,191],"introduced":[106],"enhancement":[111],"from":[114],"both":[115],"spatial":[116],"spectral":[118,177,203],"dimensions.":[119],"Then,":[120],"obtained":[127],"fusing":[129],"processed":[131,161],"with":[133,197],"original":[135],"data.":[137],"Finally,":[138],"2D":[139],"convolutional":[140],"neural":[141],"networks":[142],"(2D-CNN)":[143],"used":[145],"HSI.":[150],"To":[151],"evaluate":[152],"proposed":[154],"method,":[155],"a":[156],"real-world":[157],"experiment":[164],"results":[167],"show":[168],"improve":[172],"contrast":[174],"intensity":[178],"area.":[182],"Compared":[183],"other":[185],"state-of-the-art":[186],"methods,":[187],"accuracy":[190],"better":[192],"at":[193],"containing":[194],"different":[195],"small":[198],"samples,":[199],"especially":[200],"dimension.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}