{"id":"https://openalex.org/W4312754836","doi":"https://doi.org/10.1109/igarss46834.2022.9883159","title":"Spatial Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing","display_name":"Spatial Graph Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312754836","doi":"https://doi.org/10.1109/igarss46834.2022.9883159"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883159","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 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/A5100396842","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-0206-9381"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023993392","display_name":"Lin Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Lei","raw_affiliation_strings":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","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":"Jiangxi University of Water Resources and Electric Power","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":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064140321","display_name":"Min Huang","orcid":"https://orcid.org/0000-0002-2107-9227"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Huang","raw_affiliation_strings":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","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":"Jiangxi University of Water Resources and Electric Power","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":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","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":"Jiangxi University of Water Resources and Electric Power","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":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","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":"Jiangxi University of Water Resources and Electric Power","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":["Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,Nanchang,China,330099","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4727,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63416899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1624","last_page":"1627"},"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":0.9930999875068665,"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":0.9887999892234802,"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":0.8608505725860596},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8143291473388672},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6311485767364502},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.621243417263031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6179082989692688},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5708094239234924},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5511460304260254},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5489318370819092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5431018471717834},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.541904628276825},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.49674540758132935},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.48870304226875305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4656456410884857},{"id":"https://openalex.org/keywords/dense-graph","display_name":"Dense graph","score":0.4467952251434326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2894311547279358},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09835907816886902},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07550880312919617}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8608505725860596},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8143291473388672},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6311485767364502},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.621243417263031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179082989692688},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5708094239234924},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5511460304260254},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5489318370819092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5431018471717834},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.541904628276825},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.49674540758132935},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.48870304226875305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4656456410884857},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.4467952251434326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2894311547279358},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09835907816886902},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07550880312919617},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C102192266","wikidata":"https://www.wikidata.org/wiki/Q4545823","display_name":"1-planar graph","level":4,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883159","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G432295667","display_name":null,"funder_award_id":"62141105,61901208,61865012","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"}],"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2032944446","https://openalex.org/W2063069198","https://openalex.org/W2070424424","https://openalex.org/W2097308346","https://openalex.org/W2153885347","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2604977491","https://openalex.org/W2792167075","https://openalex.org/W3013583130","https://openalex.org/W3158091052"],"related_works":["https://openalex.org/W2145597631","https://openalex.org/W2386237856","https://openalex.org/W3205006852","https://openalex.org/W3045351696","https://openalex.org/W3143531750","https://openalex.org/W4318695233","https://openalex.org/W1966175096","https://openalex.org/W4312754836","https://openalex.org/W1981939910","https://openalex.org/W2950269326"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,51,70,102,185],"is":[2,105,118,138,175],"an":[3],"important":[4],"image":[5],"interpre-tation":[6],"technique":[7],"that":[8,169],"aims":[9],"to":[10,40,54,120,140,177],"estimate":[11],"the":[12,59,63,73,108,112,115,122,127,131,134,142,151,170],"pure":[13],"constituent":[14],"materials":[15],"(endmembers)":[16],"and":[17,129],"their":[18],"corresponding":[19],"fractional":[20],"abundances":[21],"in":[22],"each":[23],"mixed":[24,42],"pixel.":[25],"Nonnegative":[26],"matrix":[27,100],"factorization":[28,101],"(NMF)":[29],"has":[30],"attracted":[31],"a":[32,95,158],"lot":[33],"of":[34,37,58,62,75,126,150],"attention":[35],"because":[36],"its":[38,55],"ability":[39],"solve":[41],"pixel":[43],"scenarios.":[44],"The":[45,147],"sparse":[46,60,68],"NMF":[47,69],"method":[48,174],"achieves":[49],"better":[50,179],"results":[52,163,180],"thanks":[53],"full":[56],"use":[57],"characteristics":[61],"data.":[64],"However,":[65],"most":[66],"existing":[67],"techniques":[71],"lack":[72],"consid-eration":[74],"spatial":[76,90,96,135,143],"information.":[77,91],"In":[78,92],"fact,":[79],"hyperspectral":[80],"images":[81],"contain":[82],"intrinsic":[83],"geometric":[84],"information":[85],"as":[86,88],"well":[87],"rich":[89],"this":[93],"paper,":[94],"graph":[97,116],"regularized":[98],"nonneg-ative":[99],"framework":[103],"(SGNMF)":[104],"established.":[106],"For":[107],"proposed":[109,172],"SGNMF,":[110],"on":[111,130,164],"one":[113],"hand,":[114,133],"regularization":[117],"introduced":[119],"characterize":[121],"latent":[123],"manifold":[124],"structure":[125],"data,":[128],"other":[132,182],"weighting":[136],"factor":[137],"used":[139],"mine":[141],"correlation":[144],"between":[145],"pixels.":[146],"optimization":[148],"problem":[149],"SGNMF":[152,173],"model":[153],"can":[154],"be":[155],"solved":[156],"by":[157],"multiplicative":[159],"iterative":[160],"rule.":[161],"Exper-imental":[162],"synthetic":[165],"data":[166],"sets":[167],"indicate":[168],"newly":[171],"able":[176],"produce":[178],"than":[181],"advanced":[183],"spectral":[184],"algorithms.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
