{"id":"https://openalex.org/W4226453083","doi":"https://doi.org/10.1109/tgrs.2022.3167569","title":"Study on Pixel Entanglement Theory for Imagery Classification","display_name":"Study on Pixel Entanglement Theory for Imagery Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226453083","doi":"https://doi.org/10.1109/tgrs.2022.3167569"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3167569","doi":"https://doi.org/10.1109/tgrs.2022.3167569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3167569","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5075826136","display_name":"Guoqing Zhou","orcid":"https://orcid.org/0000-0001-8295-0496","observed_orcids":["https://orcid.org/0000-0001-8295-0496"]},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Zhou","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778606","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-4077-3273","observed_orcids":["https://orcid.org/0000-0002-4077-3273"]},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-4077-3273","affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102407428","display_name":"Jianrong Xiao","orcid":"https://orcid.org/0000-0003-1710-1417","observed_orcids":["https://orcid.org/0000-0003-1710-1417"]},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrong Xiao","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":2.2192,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.89457487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T10689","display_name":"Remote-Sensing Image Classification","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/T13890","display_name":"Remote Sensing and Land Use","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/unsupervised-image-classification","display_name":"unsupervised image classification","score":0.8489999771118164},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.7910000085830688},{"id":"https://openalex.org/keywords/pixel-correlation","display_name":"pixel correlation","score":0.6639999747276306},{"id":"https://openalex.org/keywords/isodata","display_name":"ISODATA","score":0.6489999890327454},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8050000071525574},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9729999899864197}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8733381032943726},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.6900887489318848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6640675067901611},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.6213430166244507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5780125260353088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5643728375434875},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5619847178459167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5428138375282288},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.5380185842514038},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.47735142707824707},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4733469784259796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35407203435897827},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3427259922027588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2687850594520569},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09506931900978088},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3167569","doi":"https://doi.org/10.1109/tgrs.2022.3167569","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3167569","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5621401100","display_name":null,"funder_award_id":"2016YFB0502501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6104665193","display_name":"\u673a\u8f7d180\u00b0FOV\u9c7c\u773c\u89c6\u9891\u6d41\u6b63\u5c04\u7ea0\u6b63\u7684\u7406\u8bba\u548c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41961065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7019205735","display_name":null,"funder_award_id":"2019GXNSFGA245001","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1990517717","https://openalex.org/W1992246388","https://openalex.org/W2028092533","https://openalex.org/W2032803080","https://openalex.org/W2064737025","https://openalex.org/W2084502283","https://openalex.org/W2091646310","https://openalex.org/W2106055119","https://openalex.org/W2106092565","https://openalex.org/W2107131609","https://openalex.org/W2111256709","https://openalex.org/W2116187918","https://openalex.org/W2118943904","https://openalex.org/W2118984582","https://openalex.org/W2128024939","https://openalex.org/W2134478050","https://openalex.org/W2144552105","https://openalex.org/W2149827524","https://openalex.org/W2150045166","https://openalex.org/W2161501580","https://openalex.org/W2165323846","https://openalex.org/W2168809519","https://openalex.org/W2171209182","https://openalex.org/W2179290474","https://openalex.org/W2188073311","https://openalex.org/W2537822111","https://openalex.org/W2538244214","https://openalex.org/W2598998899","https://openalex.org/W2888439342","https://openalex.org/W2900768929","https://openalex.org/W2927240970","https://openalex.org/W2962770389","https://openalex.org/W2993889278","https://openalex.org/W2995180237","https://openalex.org/W3032163196","https://openalex.org/W3037737784"],"related_works":["https://openalex.org/W4400350742","https://openalex.org/W4406091815","https://openalex.org/W3004875555","https://openalex.org/W7133598951","https://openalex.org/W4414602008","https://openalex.org/W2005175610","https://openalex.org/W2283740974","https://openalex.org/W1976755304","https://openalex.org/W2160394449","https://openalex.org/W563881401"],"abstract_inverted_index":{"Classification":[0],"of":[1,27,51,89,113,149,165],"remotely":[2],"sensed":[3],"images":[4],"(RSIs)":[5],"is":[6,23,70,105,126,140],"prerequisite":[7],"for":[8],"further":[9],"applications.":[10],"Of":[11],"the":[12,17,28,35,40,48,76,90,109,117,130,147,150,162,178,200,206,211,217],"existing":[13],"RSI":[14,80,94,143],"classification":[15,32,144,163,181,201,219],"algorithms,":[16],"self-organizing":[18,64,122],"mapping":[19],"(SOM)":[20],"neural":[21,67,123],"network":[22,68,124],"considered":[24,82,96],"as":[25,83,97],"one":[26],"most":[29],"effective":[30],"unsupervised":[31,180],"algorithms.":[33],"However,":[34],"traditional":[36,179],"SOM":[37],"only":[38],"considers":[39],"Euclidean":[41],"distance":[42],"between":[43,133],"neurons,":[44],"which":[45],"cannot":[46],"reflect":[47],"correlation":[49],"characteristics":[50],"neurons.":[52],"For":[53],"this":[54,73,170],"reason,":[55],"a":[56,93,121],"radical":[57],"algorithm,":[58],"called":[59,84,98],"\u201cpixel":[60],"entanglement":[61,66,111],"(PE)":[62],"through":[63,152],"pixel":[65,100],"(SOPENN)\u201d":[69],"proposed":[71,106,168,207],"in":[72,78,92,142,169,225],"article.":[74],"First,":[75],"pixels":[77,91,115],"an":[79],"are":[81,95],"\u201cquantum":[85,99],"pixels,\u201d":[86],"and":[87,189,191,198,203],"all":[88],"array\u201d;":[101],"then":[102],"PE":[103,131],"coefficient":[104,193],"to":[107,128,145],"mine":[108],"quantum":[110,114,134],"relationship":[112],"on":[116],"array":[118],"space;":[119],"finally,":[120],"(SONN)":[125],"established":[127],"stimulate":[129],"behavior":[132],"pixels.":[135],"The":[136,156],"theory":[137],"mentioned":[138],"above":[139],"applied":[141],"verify":[146],"performance":[148],"SOPENN":[151,166,208],"four":[153,226],"study":[154,227],"areas.":[155,228],"experimental":[157],"results":[158],"demonstrate":[159],"that:":[160],"1)":[161],"accuracy":[164,202],"model":[167,209],"article":[171],"averagely":[172,195],"increases":[173,196],"8.42%":[174],"when":[175,214],"compared":[176,215],"with":[177,216],"methods,":[182],"Iterative":[183],"Selforganizing":[184],"Data":[185],"Analysis":[186],"(ISODATA),":[187],"K-means,":[188],"SOM;":[190],"Kappa":[192],"(KC)":[194],"0.14;":[197],"2)":[199],"KC":[204],"from":[205],"reached":[210],"same":[212],"level":[213],"supervised":[218],"(support":[220],"vector":[221],"machine":[222],"(SVM)":[223],"model)":[224]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-05-05T00:00:00"}