{"id":"https://openalex.org/W1603505684","doi":"https://doi.org/10.1109/icassp.2015.7178197","title":"A fast hyperplane-based MVES algorithm for hyperspectral unmixing","display_name":"A fast hyperplane-based MVES algorithm for hyperspectral unmixing","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1603505684","doi":"https://doi.org/10.1109/icassp.2015.7178197","mag":"1603505684"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5000566608","display_name":"Chia-Hsiang Lin","orcid":"https://orcid.org/0000-0002-4865-2329"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Hsiang Lin","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061813280","display_name":"Chong\u2010Yung Chi","orcid":"https://orcid.org/0000-0001-5004-7155"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Yung Chi","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619495","display_name":"Yu-Hsiang Wang","orcid":"https://orcid.org/0000-0001-7747-4456"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsiang Wang","raw_affiliation_strings":["Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, R.O.C","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan, (R.O.C.)","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106725197","display_name":"Tsung\u2010Han Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsung-Han Chan","raw_affiliation_strings":["National Science Park, Sunplus Technology C-o., Ltd., Hsinchu, R.O.C","Sunplus Technology Co., Ltd., National Science Park, Hsinchu, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"National Science Park, Sunplus Technology C-o., Ltd., Hsinchu, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Sunplus Technology Co., Ltd., National Science Park, Hsinchu, Taiwan, R.O.C","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000566608"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.2439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82543734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1384","last_page":"1388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9940000176429749,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9829000234603882,"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/endmember","display_name":"Endmember","score":0.9109658598899841},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8888670802116394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6025392413139343},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.5992366671562195},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.598609209060669},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.560492992401123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528135359287262},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.5082180500030518},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5076996088027954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3560938835144043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3315924108028412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31974712014198303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16644516587257385}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9109658598899841},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8888670802116394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6025392413139343},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.5992366671562195},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.598609209060669},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.560492992401123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528135359287262},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.5082180500030518},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5076996088027954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3560938835144043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3315924108028412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31974712014198303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16644516587257385},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1608180792","https://openalex.org/W1976615758","https://openalex.org/W2039806043","https://openalex.org/W2050041778","https://openalex.org/W2053631917","https://openalex.org/W2063790512","https://openalex.org/W2070424424","https://openalex.org/W2081555128","https://openalex.org/W2087263574","https://openalex.org/W2101837437","https://openalex.org/W2115163184","https://openalex.org/W2118943995","https://openalex.org/W2134328014","https://openalex.org/W2137009054","https://openalex.org/W2146148434","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2170078675","https://openalex.org/W2185164352","https://openalex.org/W2295820431","https://openalex.org/W2296319761","https://openalex.org/W2487122920","https://openalex.org/W2964257934","https://openalex.org/W4233760599","https://openalex.org/W4250589301","https://openalex.org/W4252112222"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2609138370","https://openalex.org/W1553242510","https://openalex.org/W2416971058","https://openalex.org/W3149883346","https://openalex.org/W2119886624","https://openalex.org/W2117544941","https://openalex.org/W2139141917","https://openalex.org/W2113095280","https://openalex.org/W2903418755"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1],"(HU)":[2],"is":[3],"an":[4],"essential":[5],"signal":[6],"processing":[7],"procedure":[8],"for":[9,50],"blindly":[10],"extracting":[11],"the":[12,29,32,39,58,92,145,149],"hidden":[13],"spectral":[14],"signatures":[15],"of":[16,31,38,60,148],"materials":[17],"(or":[18],"endmembers)":[19],"from":[20,70,118],"observed":[21],"hyperspectral":[22],"imaging":[23],"data.":[24],"Craig's":[25,95],"criterion,":[26],"stating":[27],"that":[28,94],"vertices":[30,99],"minimum":[33],"volume":[34,78],"enclosing":[35],"simplex":[36,77,96],"(MVES)":[37],"data":[40,122],"cloud":[41],"yield":[42],"high-fidelity":[43],"endmember":[44,52,134],"estimates,":[45],"has":[46],"been":[47],"widely":[48],"used":[49],"designing":[51],"extraction":[53],"algorithms":[54],"(EEAs)":[55],"especially":[56],"in":[57,156],"scenario":[59],"no":[61],"pure":[62],"pixels.":[63],"However,":[64],"most":[65],"Craig-criterion-based":[66,154],"EEAs":[67,155],"generally":[68],"suffer":[69],"high":[71],"computational":[72,158],"complexity":[73],"due":[74],"to":[75,83,143],"heavy":[76],"computations,":[79],"and":[80,111,127,160],"performance":[81],"sensitivity":[82],"random":[84],"initialization,":[85],"etc.":[86],"In":[87],"this":[88],"work,":[89],"based":[90],"on":[91],"idea":[93],"with":[97,133],"N":[98,104],"can":[100],"be":[101],"defined":[102],"by":[103,114],"associated":[105],"hyperplanes,":[106],"we":[107],"develop":[108],"a":[109],"fast":[110],"reproducible":[112],"EEA":[113,151],"identifying":[115],"these":[116],"hyperplanes":[117],"N(N":[119],"-":[120],"1)":[121],"pixels":[123],"extracted":[124],"via":[125],"simple":[126],"effective":[128],"linear":[129],"algebraic":[130],"formulations,":[131],"together":[132],"identifiability":[135],"analysis.":[136],"Some":[137],"Monte":[138],"Carlo":[139],"simulations":[140],"are":[141],"provided":[142],"demonstrate":[144],"superior":[146],"efficacy":[147],"proposed":[150],"over":[152],"state-of-the-art":[153],"both":[157],"efficiency":[159],"estimation":[161],"accuracy.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}