{"id":"https://openalex.org/W3205826832","doi":"https://doi.org/10.1109/igarss47720.2021.9554953","title":"Low-Rank Subspace Unmixing of Remotely Sensed Hyperspectral Image","display_name":"Low-Rank Subspace Unmixing of Remotely Sensed Hyperspectral Image","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205826832","doi":"https://doi.org/10.1109/igarss47720.2021.9554953","mag":"3205826832"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5103065131","display_name":"Quan You","orcid":"https://orcid.org/0009-0009-0931-2215"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan You","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373534","display_name":"Fan Li","orcid":"https://orcid.org/0000-0001-5077-8118"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002395584","display_name":"Shaoquan Zhang","orcid":"https://orcid.org/0000-0002-1454-9665"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoquan Zhang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002188273","display_name":"Shengqian Wang","orcid":"https://orcid.org/0000-0001-9728-9995"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengqian Wang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090973011","display_name":"Chengzhi Deng","orcid":"https://orcid.org/0000-0003-1605-7100"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Deng","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101930677","display_name":"Chenguang Xu","orcid":"https://orcid.org/0000-0003-4210-8805"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenguang Xu","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103065131"],"corresponding_institution_ids":["https://openalex.org/I141103825"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5926284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3849","last_page":"3852"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9980000257492065,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9375454783439636},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7089353203773499},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6516764163970947},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.5859861969947815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5840054154396057},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5212017297744751},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.5116662979125977},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5108560919761658},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.49604591727256775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4780769348144531},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47590574622154236},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.46617627143859863},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4429713487625122},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41231870651245117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3515910506248474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3014126718044281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2962908446788788},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.28308719396591187},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11645200848579407}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9375454783439636},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7089353203773499},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6516764163970947},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.5859861969947815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840054154396057},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5212017297744751},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.5116662979125977},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5108560919761658},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.49604591727256775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4780769348144531},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47590574622154236},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46617627143859863},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4429713487625122},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41231870651245117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3515910506248474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3014126718044281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2962908446788788},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28308719396591187},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11645200848579407},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4082435327","display_name":null,"funder_award_id":"61865012,61901208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5193274010","display_name":null,"funder_award_id":"2020M672483","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7993142475","display_name":null,"funder_award_id":"20202BBGL,73081,20181ACG70022","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1524571335","https://openalex.org/W1964570608","https://openalex.org/W1972293418","https://openalex.org/W2057107264","https://openalex.org/W2070424424","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2125298866","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2415341181","https://openalex.org/W2617737158","https://openalex.org/W2792167075","https://openalex.org/W2897962879","https://openalex.org/W3158091052","https://openalex.org/W4233760599","https://openalex.org/W4392677642","https://openalex.org/W6794991511"],"related_works":["https://openalex.org/W2086636525","https://openalex.org/W2122520938","https://openalex.org/W2375054397","https://openalex.org/W2359733509","https://openalex.org/W4224320266","https://openalex.org/W102514241","https://openalex.org/W2791078257","https://openalex.org/W2553040330","https://openalex.org/W2085994657","https://openalex.org/W3205826832"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,50,53,78,163],"is":[2,43,101,123],"an":[3],"important":[4],"technique":[5,74],"for":[6],"hyperspectral":[7],"image":[8],"application,":[9],"which":[10,45,82],"aims":[11,83],"to":[12,29,48,56,84,107,125],"estimate":[13,86],"the":[14,30,61,66,94,98,117,127,130,134,139,152],"pure":[15],"spectral":[16,41,63,111,114,162],"signatures":[17],"in":[18,65,113],"each":[19],"mixed":[20],"pixel":[21],"and":[22,39,90,132],"their":[23],"corresponding":[24],"fractional":[25],"abundances.":[26],"However,":[27],"due":[28],"influence":[31],"of":[32,129,138],"factors":[33],"such":[34],"as":[35],"illumination,":[36],"topography":[37],"change":[38],"atmosphere,":[40],"variability":[42,64],"inevitable,":[44],"will":[46],"lead":[47],"inaccurate":[49],"results.":[51],"Traditional":[52],"methods":[54],"fail":[55],"handle":[57],"this":[58,70],"problem,":[59],"especially":[60],"complex":[62],"image.":[67],"To":[68],"address":[69],"limitation,":[71],"a":[72,87,104],"new":[73],"called":[75],"low-rank":[76,105],"subspace":[77,88,106],"(LRSU)":[79],"was":[80],"established,":[81],"jointly":[85],"projection":[89],"abundance":[91],"maps.":[92],"For":[93],"proposed":[95,153],"LRSU":[96,154],"approach,":[97],"original":[99],"data":[100,147],"projected":[102],"into":[103],"deal":[108],"with":[109],"various":[110],"variabilities":[112],"unmixing.":[115],"Meanwhile,":[116],"spectral-spatial":[118],"weighted":[119],"sparse":[120],"regularization":[121],"term":[122],"introduced":[124],"upgrade":[126],"sparsity":[128],"solution":[131],"capture":[133],"piecewise":[135],"smooth":[136],"structure":[137],"data.":[140],"The":[141],"experimental":[142],"results,":[143],"conducted":[144],"using":[145],"synthetic":[146],"sets,":[148],"quantitatively":[149],"indicate":[150],"that":[151],"strategy":[155],"produces":[156],"better":[157],"results":[158],"than":[159],"other":[160],"advanced":[161],"methods.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}