{"id":"https://openalex.org/W2983067685","doi":"https://doi.org/10.1109/igarss.2019.8898127","title":"Fast Linear Unmixing of Hyperspectral Image by Slow Feature Analysis and Simplex Volume Ratio Approach","display_name":"Fast Linear Unmixing of Hyperspectral Image by Slow Feature Analysis and Simplex Volume Ratio Approach","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983067685","doi":"https://doi.org/10.1109/igarss.2019.8898127","mag":"2983067685"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5024111480","display_name":"Samiran Das","orcid":"https://orcid.org/0000-0003-4895-1270"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Samiran Das","raw_affiliation_strings":["Advanced Technology Development Center, Indian Institute of Technology Kharagpur"],"affiliations":[{"raw_affiliation_string":"Advanced Technology Development Center, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090986036","display_name":"Sohom Chakraborty","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sohom Chakraborty","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045754565","display_name":"Aurobinda Routray","orcid":"https://orcid.org/0000-0003-2750-6768"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aurobinda Routray","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037619777","display_name":"Alok Kanti Deb","orcid":"https://orcid.org/0000-0002-4314-4958"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Alok Kanti Deb","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024111480"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":1.7855,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8729151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"563"},"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":0.9970999956130981,"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":0.9941999912261963,"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/endmember","display_name":"Endmember","score":0.9124001264572144},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8199796080589294},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.774955153465271},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.7309184670448303},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.634328305721283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927529335021973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835264921188354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5750325322151184},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5435552000999451},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46154075860977173},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43779605627059937},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4156906008720398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.349470317363739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3339621126651764}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9124001264572144},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8199796080589294},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.774955153465271},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.7309184670448303},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.634328305721283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927529335021973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835264921188354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5750325322151184},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5435552000999451},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46154075860977173},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43779605627059937},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4156906008720398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.349470317363739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3339621126651764},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1539062876","https://openalex.org/W1976615758","https://openalex.org/W1983077328","https://openalex.org/W1993335267","https://openalex.org/W2004594443","https://openalex.org/W2049418899","https://openalex.org/W2050041778","https://openalex.org/W2070424424","https://openalex.org/W2095832449","https://openalex.org/W2098295833","https://openalex.org/W2117027921","https://openalex.org/W2125860481","https://openalex.org/W2142786738","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2162888866","https://openalex.org/W2165755981","https://openalex.org/W2311995462","https://openalex.org/W2765815633","https://openalex.org/W2774517539","https://openalex.org/W2882500187","https://openalex.org/W2897108437","https://openalex.org/W2941302939","https://openalex.org/W2963691171","https://openalex.org/W3099751232","https://openalex.org/W3106127686","https://openalex.org/W6746968042"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W2891033441","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2006559622","https://openalex.org/W2040756827","https://openalex.org/W2138418872","https://openalex.org/W2051769241","https://openalex.org/W2773863718"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2,113],"a":[3,10,91],"novel,":[4],"faster":[5],"unmixing":[6,134],"approach":[7,13],"based":[8,26],"on":[9,141],"convex":[11],"geometric":[12],"and":[14,18,89,126,149],"slow":[15],"feature":[16,48],"analysis,":[17],"extends":[19],"it":[20],"to":[21,116],"perform":[22],"efficient":[23],"library":[24,42,80,110],"pruning":[25,43,76,111],"semi-blind":[27,45],"unmixing.":[28,46],"The":[29,59,97,109],"former":[30],"algorithm":[31,39,50],"performs":[32,40],"complete":[33],"blind":[34],"unmixing,":[35],"whereas":[36],"the":[37,52,56,62,66,70,73,83,86,94,104,107,118,121,124,128,139,146],"subsequent":[38],"exact":[41],"for":[44],"Slow":[47],"analysis":[49],"impels":[51],"pure":[53],"pixels":[54],"towards":[55],"exterior":[57],"region.":[58],"work":[60],"identifies":[61],"endmembers":[63],"by":[64],"detecting":[65],"extreme":[67,87],"points.":[68],"On":[69],"other":[71],"hand,":[72],"proposed":[74,153],"dictionary":[75],"method":[77,112],"augments":[78],"each":[79],"element":[81],"with":[82],"data,":[84],"extracts":[85],"points":[88],"calculate":[90],"volume":[92,122],"of":[93,99,106,123,151],"transformed":[95],"data.":[96],"augmentation":[98],"actual":[100,129],"image":[101,130],"endmember":[102],"changes":[103],"structure":[105],"simplex.":[108],"an":[114],"index":[115],"capture":[117],"change":[119],"in":[120],"simplex":[125],"identify":[127],"endmember.":[131],"We":[132],"evaluated":[133],"performance":[135],"as":[136,138],"well":[137],"runtime":[140],"real":[142],"images,":[143],"which":[144],"ratifies":[145],"computational":[147],"edge":[148],"proficiency":[150],"our":[152],"method.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
