{"id":"https://openalex.org/W1981728511","doi":"https://doi.org/10.1109/jstars.2014.2371931","title":"Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection","display_name":"Semisupervised Affinity Propagation Based on Normalized Trivariable Mutual Information for Hyperspectral Band Selection","publication_year":2014,"publication_date":"2014-12-19","ids":{"openalex":"https://openalex.org/W1981728511","doi":"https://doi.org/10.1109/jstars.2014.2371931","mag":"1981728511"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2371931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2371931","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546082","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-8032-7542"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075609498","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0002-0381-4910"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image, Understanding of Ministry of Education of China, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050630882"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":2.7557,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.90761205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"6","first_page":"2760","last_page":"2773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8932334780693054},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8821401596069336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7308682203292847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.725628137588501},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6739029884338379},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619691848754883},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6139451861381531},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6028174161911011},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5123711824417114},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4971459209918976},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4852893054485321},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4799347519874573},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42776787281036377},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4233693480491638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31824612617492676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1959170699119568}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8932334780693054},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8821401596069336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7308682203292847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.725628137588501},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6739029884338379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619691848754883},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6139451861381531},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6028174161911011},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5123711824417114},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4971459209918976},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4852893054485321},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4799347519874573},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42776787281036377},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4233693480491638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31824612617492676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1959170699119568},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2371931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2371931","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2587811045","display_name":null,"funder_award_id":"61272282","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3563266299","display_name":null,"funder_award_id":"61173090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3774399205","display_name":null,"funder_award_id":"61403304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4324139148","display_name":null,"funder_award_id":"NCET-13-0948","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G6352076180","display_name":null,"funder_award_id":"JB140317","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W12820539","https://openalex.org/W164556087","https://openalex.org/W229472839","https://openalex.org/W1977556410","https://openalex.org/W1997912302","https://openalex.org/W2022470997","https://openalex.org/W2031795937","https://openalex.org/W2043420811","https://openalex.org/W2043945532","https://openalex.org/W2052280110","https://openalex.org/W2060542593","https://openalex.org/W2090826137","https://openalex.org/W2098057602","https://openalex.org/W2099111195","https://openalex.org/W2104766538","https://openalex.org/W2105456967","https://openalex.org/W2108119513","https://openalex.org/W2110375187","https://openalex.org/W2114147217","https://openalex.org/W2114828048","https://openalex.org/W2126185804","https://openalex.org/W2133059825","https://openalex.org/W2133621378","https://openalex.org/W2134478553","https://openalex.org/W2135758523","https://openalex.org/W2136504847","https://openalex.org/W2137813581","https://openalex.org/W2138521141","https://openalex.org/W2140702875","https://openalex.org/W2150566919","https://openalex.org/W2151599207","https://openalex.org/W2154053567","https://openalex.org/W2154506590","https://openalex.org/W2156571267","https://openalex.org/W2156932943","https://openalex.org/W2157621128","https://openalex.org/W2165012164","https://openalex.org/W2165232124","https://openalex.org/W2167685974","https://openalex.org/W2169992516","https://openalex.org/W2171350553","https://openalex.org/W2506684654","https://openalex.org/W2565377681","https://openalex.org/W2625777111","https://openalex.org/W2726366273","https://openalex.org/W6606803596","https://openalex.org/W6680140577","https://openalex.org/W6682904970","https://openalex.org/W6685064611","https://openalex.org/W6730728620","https://openalex.org/W6739783222"],"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/W2292979300","https://openalex.org/W2120164251","https://openalex.org/W2985680200","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"The":[0],"high":[1],"dimensionality":[2,20],"of":[3,25,108,114,127,164,190],"hyperspectral":[4,26,185],"images":[5,27,186],"brings":[6],"a":[7,16,32,77,140],"heavy":[8],"burden":[9],"for":[10,19,92,144],"image":[11],"processing.":[12],"Band":[13,116],"selection":[14,36,195],"is":[15,43,50,86,118,150],"common":[17],"technique":[18],"reduction.":[21],"Since":[22,130],"the":[23,106,111,121,131,161,167,188,191],"labels":[24],"are":[28,134],"difficult":[29],"to":[30,53,88,110],"collect,":[31],"new":[33,78,141],"semisupervised":[34,193],"band":[35,62,69,72,90,98,102,145,148,194],"method":[37,143,169],"based":[38],"on":[39,184],"affinity":[40],"propagation":[41],"(AP)":[42],"proposed.":[44],"AP,":[45],"an":[46],"exemplar-based":[47],"clustering":[48,132],"method,":[49],"famous":[51],"due":[52],"fast":[54],"execution":[55],"time":[56],"and":[57,71,104,124,147,174,177],"low":[58],"reconstruction":[59],"error.":[60],"For":[61],"selection,":[63],"AP":[64],"involves":[65],"two":[66],"key":[67],"issues:":[68],"correlation":[70,91,146],"preference.":[73],"In":[74],"this":[75],"paper,":[76],"normalized":[79],"trivariable":[80],"mutual":[81],"information":[82],"(normalized":[83],"TMI,":[84],"NTMI)":[85],"devised":[87],"measure":[89],"classification.":[93],"NTMI":[94],"considers":[95],"not":[96],"only":[97],"redundancy":[99],"but":[100],"also":[101],"synergy,":[103],"overcomes":[105],"sensitivity":[107],"TMI":[109],"discriminative":[112,122,173],"abilities":[113],"bands.":[115,165,181],"preference":[117,149],"defined":[119],"by":[120,137,159],"ability":[123],"informative":[125,175],"amount":[126],"each":[128],"band.":[129],"methods":[133],"easily":[135],"disturbed":[136],"noisy":[138,156],"bands,":[139,176],"statistical-based":[142],"devised.":[151],"It":[152],"can":[153,170],"automatically":[154],"remove":[155,178],"bands":[157],"beforehand":[158],"exploiting":[160],"continuity":[162],"property":[163],"Finally,":[166],"proposed":[168,192],"select":[171],"highly":[172,179],"redundant":[180],"Experimental":[182],"results":[183],"demonstrate":[187],"effectiveness":[189],"method.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":6}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
