{"id":"https://openalex.org/W2768211636","doi":"https://doi.org/10.1109/tgrs.2017.2768479","title":"Extinction Profiles Fusion for Hyperspectral Images Classification","display_name":"Extinction Profiles Fusion for Hyperspectral Images Classification","publication_year":2017,"publication_date":"2017-11-22","ids":{"openalex":"https://openalex.org/W2768211636","doi":"https://doi.org/10.1109/tgrs.2017.2768479","mag":"2768211636"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2017.2768479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2768479","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,"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"},"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/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Fang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2351-4461","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057842658","display_name":"Nanjun He","orcid":"https://orcid.org/0000-0003-3105-6499"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanjun He","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074919292","display_name":"Pedram Ghamisi","orcid":"https://orcid.org/0000-0003-1203-741X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pedram Ghamisi","raw_affiliation_strings":["German Aerospace Center, Remote Sensing Technology Institute, Wessling, Germany","Technische Universit\u00e4t M\u00fcnchen, Signal Processing in Earth Observation, M\u00fcnich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1203-741X","affiliations":[{"raw_affiliation_string":"German Aerospace Center, Remote Sensing Technology Institute, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"Technische Universit\u00e4t M\u00fcnchen, Signal Processing in Earth Observation, M\u00fcnich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Jon Atli Benediktsson","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavk, Iceland"],"raw_orcid":"https://orcid.org/0000-0003-0621-9647","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavk, Iceland","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":10.8969,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":{"value":0.98362977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"56","issue":"3","first_page":"1803","last_page":"1815"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9932000041007996,"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":0.9803000092506409,"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":0.8240504264831543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7048099637031555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7033829092979431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6552702784538269},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.625208854675293},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5202509164810181},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4786989986896515},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4514075219631195},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4116152226924896},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.335074782371521},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.25466692447662354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2520495057106018},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06013038754463196}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8240504264831543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7048099637031555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7033829092979431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552702784538269},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.625208854675293},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5202509164810181},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4786989986896515},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4514075219631195},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4116152226924896},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.335074782371521},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.25466692447662354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2520495057106018},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06013038754463196},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2017.2768479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2768479","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,"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"},{"id":"pmh:oai:elib.dlr.de:118215","is_oa":false,"landing_page_url":"https://elib.dlr.de/118215/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Zeitschriftenbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3693646142","display_name":"\u57fa\u4e8eOCT\u56fe\u50cf\u591a\u75c5\u53d8\u5206\u6790\u7684\u89c6\u7f51\u819c\u75be\u75c5\u81ea\u52a8\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61771192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332375","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1561442812","https://openalex.org/W1939429412","https://openalex.org/W1964206826","https://openalex.org/W1985468858","https://openalex.org/W1998030734","https://openalex.org/W2013251902","https://openalex.org/W2018482939","https://openalex.org/W2041100636","https://openalex.org/W2052160904","https://openalex.org/W2059217921","https://openalex.org/W2062964394","https://openalex.org/W2065283065","https://openalex.org/W2074753551","https://openalex.org/W2085529604","https://openalex.org/W2087263574","https://openalex.org/W2099741732","https://openalex.org/W2103094532","https://openalex.org/W2105386417","https://openalex.org/W2106777458","https://openalex.org/W2108597246","https://openalex.org/W2114819256","https://openalex.org/W2122177361","https://openalex.org/W2127199143","https://openalex.org/W2135431554","https://openalex.org/W2136251662","https://openalex.org/W2142012908","https://openalex.org/W2144151128","https://openalex.org/W2145023731","https://openalex.org/W2151599207","https://openalex.org/W2156316030","https://openalex.org/W2164330327","https://openalex.org/W2166923144","https://openalex.org/W2294492906","https://openalex.org/W2342652911","https://openalex.org/W2342780536","https://openalex.org/W2344173806","https://openalex.org/W2345118402","https://openalex.org/W2346557146","https://openalex.org/W2516506474","https://openalex.org/W2518831014","https://openalex.org/W2519956323","https://openalex.org/W2523513766","https://openalex.org/W2595902385","https://openalex.org/W2608854843","https://openalex.org/W2743255627","https://openalex.org/W2750085043","https://openalex.org/W3099514962","https://openalex.org/W6669290034"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W2157356416","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W2828181497","https://openalex.org/W4287635664"],"abstract_inverted_index":{"An":[0],"extinction":[1],"profile":[2],"(EP)":[3],"is":[4,33,55,108,160],"an":[5,89,102,116],"effective":[6,156],"spatial-spectral":[7],"feature":[8],"extraction":[9],"method":[10,159,186],"for":[11,42,65],"hyperspectral":[12],"images":[13],"(HSIs),":[14],"which":[15,32],"has":[16],"recently":[17],"drawn":[18],"much":[19],"attention.":[20],"However,":[21],"the":[22,26,38,59,72,77,82,112,122,126,135,142,146,165,177,183],"existing":[23],"methods":[24],"utilize":[25],"EPs":[27,41,64,83,95,148],"in":[28,40],"a":[29,48,153],"stacking":[30],"way,":[31],"hard":[34],"to":[35,57,110,120,163],"fully":[36],"explore":[37,111],"information":[39,60,114,137],"HSI":[43,66,173,190],"classification.":[44,67],"In":[45,68,76,141],"this":[46],"paper,":[47],"novel":[49],"fusion":[50,158],"framework":[51],"termed":[52],"EPs-fusion":[53],"(EPs-F)":[54],"proposed":[56,109,184],"exploit":[58],"within":[61,115],"and":[62,125,179],"among":[63],"general,":[69],"EPs-F":[70,185],"includes":[71],"following":[73],"two":[74],"stages.":[75],"first":[78],"stage,":[79,144],"by":[80],"extracting":[81],"from":[84],"three":[85,91,171],"independent":[86],"components":[87],"of":[88,94,128,138,182],"HSI,":[90],"complementary":[92,151],"groups":[93],"can":[96],"be":[97],"constructed.":[98],"For":[99],"each":[100,139],"EP,":[101],"adaptive":[103],"superpixel-based":[104],"composite":[105,123],"kernel":[106,124],"strategy":[107],"spatial":[113,136],"EP.":[117,140],"The":[118],"weights":[119],"create":[121],"number":[127],"superpixels":[129],"are":[130],"automatically":[131],"determined":[132],"based":[133],"on":[134,170],"second":[143],"since":[145],"different":[147],"contain":[149],"highly":[150],"information,":[152],"simple":[154],"yet":[155],"decision":[157],"further":[161],"applied":[162],"obtain":[164],"final":[166],"classification":[167],"result.":[168],"Experiments":[169],"real":[172],"data":[174],"sets":[175],"verify":[176],"qualitative":[178],"quantitative":[180],"superiority":[181],"over":[187],"several":[188],"state-of-the-art":[189],"classifiers.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":25}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
