{"id":"https://openalex.org/W2127480405","doi":"https://doi.org/10.1142/s0218001414500165","title":"HYPERSPECTRAL IMAGE CLASSIFICATION USING LOCAL SPECTRAL ANGLE-BASED MANIFOLD LEARNING","display_name":"HYPERSPECTRAL IMAGE CLASSIFICATION USING LOCAL SPECTRAL ANGLE-BASED MANIFOLD LEARNING","publication_year":2014,"publication_date":"2014-07-07","ids":{"openalex":"https://openalex.org/W2127480405","doi":"https://doi.org/10.1142/s0218001414500165","mag":"2127480405"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001414500165","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001414500165","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5064046752","display_name":"Fulin Luo","orcid":"https://orcid.org/0000-0002-7696-0775"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"FULIN LUO","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107883975","display_name":"Jiamin Liu","orcid":"https://orcid.org/0009-0007-9802-5562"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIAMIN LIU","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829389","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-7377-3077"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HONG HUANG","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","Technical Center of Chongqing Chuanyi Automation Co., Ltd., Chongqing 401121, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Technical Center of Chongqing Chuanyi Automation Co., Ltd., Chongqing 401121, P. R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102930880","display_name":"Yumei Liu","orcid":"https://orcid.org/0000-0003-1616-001X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YUMEI LIU","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, P. R. China","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, 400044, P.R. China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064046752"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.4481,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7168661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":"06","first_page":"1450016","last_page":"1450016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8968993425369263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6294585466384888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6147195100784302},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5809439420700073},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5770976543426514},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5636906623840332},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5499918460845947},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5120235085487366},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4888886511325836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4514998495578766},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.44542446732521057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44348910450935364},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4143826961517334},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14282771944999695}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8968993425369263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6294585466384888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147195100784302},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5809439420700073},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5770976543426514},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5636906623840332},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5499918460845947},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5120235085487366},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4888886511325836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4514998495578766},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.44542446732521057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44348910450935364},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4143826961517334},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14282771944999695},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001414500165","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001414500165","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1890923985","https://openalex.org/W2001141328","https://openalex.org/W2013051270","https://openalex.org/W2038622192","https://openalex.org/W2053186076","https://openalex.org/W2066931949","https://openalex.org/W2068695566","https://openalex.org/W2073008215","https://openalex.org/W2097308346","https://openalex.org/W2099609584","https://openalex.org/W2101711129","https://openalex.org/W2102367014","https://openalex.org/W2106777458","https://openalex.org/W2111282613","https://openalex.org/W2114528672","https://openalex.org/W2162737890","https://openalex.org/W2166229804","https://openalex.org/W2389122630","https://openalex.org/W6600238479"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W2292979300","https://openalex.org/W117517268","https://openalex.org/W3162910294","https://openalex.org/W2539700568","https://openalex.org/W1996633793","https://openalex.org/W2931531042","https://openalex.org/W1489327846"],"abstract_inverted_index":{"Locally":[0],"linear":[1],"embedding":[2],"(LLE)":[3],"depends":[4],"on":[5,122],"the":[6,12,16,21,31,47,85,95,100,104,129,132],"Euclidean":[7],"distance":[8],"(ED)":[9],"to":[10,30,42,52,89,98],"select":[11],"k-nearest":[13],"neighbors.":[14,35,106],"However,":[15],"ED":[17,86],"may":[18,28],"not":[19],"reflect":[20],"actual":[22],"geometry":[23],"structure":[24],"of":[25,33,38,46,62,87,131],"data,":[26],"which":[27],"lead":[29],"selection":[32],"ineffective":[34],"The":[36],"aim":[37],"our":[39],"work":[40],"is":[41],"make":[43],"full":[44],"use":[45],"local":[48,76,109],"spectral":[49,77,96,110],"angle":[50,78,97],"(LSA)":[51],"find":[53],"proper":[54],"neighbors":[55,102],"for":[56,81,119],"dimensionality":[57],"reduction":[58],"(DR)":[59],"and":[60],"classification":[61],"hyperspectral":[63,124],"remote":[64],"sensing":[65],"data.":[66],"At":[67],"first,":[68],"we":[69],"propose":[70],"an":[71],"improved":[72],"LLE":[73,79],"method,":[74],"called":[75],"(LSA-LLE),":[80],"DR.":[82],"It":[83],"uses":[84],"data":[88,126],"obtain":[90],"large-scale":[91,105],"neighbors,":[92],"then":[93],"utilizes":[94],"get":[99],"exact":[101],"in":[103],"Furthermore,":[107],"a":[108],"angle-based":[111],"nearest":[112],"neighbor":[113],"classifier":[114],"(LSANN)":[115],"has":[116],"been":[117],"proposed":[118],"classification.":[120],"Experiments":[121],"two":[123],"image":[125],"sets":[127],"demonstrate":[128],"effectiveness":[130],"presented":[133],"methods.":[134]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
