{"id":"https://openalex.org/W3107401448","doi":"https://doi.org/10.1177/1550147720968467","title":"Mahalanobis distance\u2013based kernel supervised machine learning in spectral dimensionality reduction for hyperspectral imaging remote sensing","display_name":"Mahalanobis distance\u2013based kernel supervised machine learning in spectral dimensionality reduction for hyperspectral imaging remote sensing","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3107401448","doi":"https://doi.org/10.1177/1550147720968467","mag":"3107401448"},"language":"en","primary_location":{"id":"doi:10.1177/1550147720968467","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720968467","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720968467","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720968467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100748638","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-7594-3244"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102006882","display_name":"Yulong Qiao","orcid":"https://orcid.org/0000-0003-1329-6974"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulong Qiao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1329-6974","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102006882"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.3782,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69116791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"11","first_page":"155014772096846","last_page":"155014772096846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9699000120162964,"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/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.8785487413406372},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7461705803871155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302994132041931},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7241911292076111},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6988075971603394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574505567550659},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6023402810096741},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5105848908424377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33352065086364746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31188249588012695}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.8785487413406372},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7461705803871155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302994132041931},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7241911292076111},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6988075971603394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574505567550659},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6023402810096741},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5105848908424377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33352065086364746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31188249588012695},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1550147720968467","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720968467","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720968467","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:16:y:2020:i:11:p:1550147720968467","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147720968467","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:d856e6422e3f42f9942e790b2509ca9c","is_oa":true,"landing_page_url":"https://doaj.org/article/d856e6422e3f42f9942e790b2509ca9c","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":"International Journal of Distributed Sensor Networks, Vol 16 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147720968467","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147720968467","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147720968467","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6196302492","display_name":"\u57fa\u4e8e\u56fe\u4e0a\u4fe1\u53f7\u5904\u7406\u7684\u52a8\u6001\u7eb9\u7406\u5206\u6790\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61871142","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3107401448.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1974010881","https://openalex.org/W1985152886","https://openalex.org/W2022463363","https://openalex.org/W2041657594","https://openalex.org/W2048857329","https://openalex.org/W2078495963","https://openalex.org/W2109743529","https://openalex.org/W2116758157","https://openalex.org/W2131800158","https://openalex.org/W2140389641","https://openalex.org/W2144299089","https://openalex.org/W2154209978","https://openalex.org/W2171188027","https://openalex.org/W2172142075","https://openalex.org/W2182192580","https://openalex.org/W2296037284","https://openalex.org/W2467420644","https://openalex.org/W2514885209","https://openalex.org/W2574404198","https://openalex.org/W2586997739","https://openalex.org/W2767819622","https://openalex.org/W2807621615","https://openalex.org/W2891755487","https://openalex.org/W2928261986","https://openalex.org/W2986150947","https://openalex.org/W2999259805","https://openalex.org/W3002684926","https://openalex.org/W4230361462"],"related_works":["https://openalex.org/W2132083814","https://openalex.org/W2292979300","https://openalex.org/W2137369096","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907"],"abstract_inverted_index":{"Spectral":[0],"dimensionality":[1,51,133],"reduction":[2,15,134],"is":[3],"a":[4,17],"crucial":[5],"step":[6],"for":[7,49],"hyperspectral":[8,136],"image":[9,21,80],"classification":[10,22,108],"in":[11,73,135],"practical":[12],"applications.":[13],"Dimensionality":[14],"has":[16],"strong":[18,28],"influence":[19],"on":[20],"performance":[23],"with":[24,88,128],"the":[25,41,59,65,68,79,91,95,111,117,131],"problems":[26],"of":[27,67],"coupling":[29,60],"features":[30,63],"and":[31,64,98],"high":[32],"band":[33],"correlation.":[34],"To":[35],"solve":[36],"these":[37],"issues,":[38],"we":[39],"propose":[40],"Mahalanobis":[42,54,101,119],"distance\u2013based":[43,102,120],"kernel":[44,104,114,121],"supervised":[45,122],"machine":[46,123],"learning":[47,105,124],"framework":[48],"spectral":[50,132],"reduction.":[52],"With":[53],"distance":[55,113],"matrix\u2013based":[56],"dimensional":[57],"reduction,":[58],"relationship":[61],"between":[62],"elimination":[66],"scale":[69],"effect":[70],"are":[71],"removed":[72],"low-dimensional":[74],"feature":[75],"space,":[76],"which":[77],"benefits":[78],"classification.":[81],"The":[82,100],"experimental":[83],"results":[84],"show":[85],"that":[86],"compared":[87],"other":[89],"methods,":[90],"proposed":[92,118],"algorithm":[93],"demonstrates":[94],"best":[96],"accuracy":[97,109],"efficiency.":[99],"multiples":[103],"achieves":[106],"higher":[107],"than":[110],"Euclidean":[112],"function.":[115],"Accordingly,":[116],"method":[125],"performs":[126],"well":[127],"respect":[129],"to":[130],"imaging":[137],"remote":[138],"sensing.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2020-12-07T00:00:00"}
