{"id":"https://openalex.org/W4386702622","doi":"https://doi.org/10.1109/tgrs.2023.3314902","title":"Spectral\u2013Spatial Anti-Interference NMF for Hyperspectral Unmixing","display_name":"Spectral\u2013Spatial Anti-Interference NMF for Hyperspectral Unmixing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386702622","doi":"https://doi.org/10.1109/tgrs.2023.3314902"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3314902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3314902","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/A5030028502","display_name":"Tingting Yang","orcid":"https://orcid.org/0000-0002-5184-0136"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Yang","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5184-0136","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Song","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-4489-5470","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103276902","display_name":"Sen Li","orcid":"https://orcid.org/0000-0001-6422-1089"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Li","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6422-1089","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374604","display_name":"Yulei Wang","orcid":"https://orcid.org/0000-0001-6436-5883"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulei Wang","raw_affiliation_strings":["Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6436-5883","affiliations":[{"raw_affiliation_string":"Center of Hyperspectral Imaging in Remote Sensing, Information Science and Technology College, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":1.0065,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79273998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"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":0.9980999827384949,"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":0.9926000237464905,"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":0.9482159614562988},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7701427936553955},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7446902394294739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6436197757720947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737268924713135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222219228744507},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.518817126750946},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5067682862281799},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49196264147758484},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.45818984508514404},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4371398389339447},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.41996943950653076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3707009553909302},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36115771532058716},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12890851497650146}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9482159614562988},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7701427936553955},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7446902394294739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6436197757720947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737268924713135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222219228744507},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.518817126750946},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5067682862281799},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49196264147758484},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.45818984508514404},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4371398389339447},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.41996943950653076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3707009553909302},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36115771532058716},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12890851497650146},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3314902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3314902","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G545681976","display_name":null,"funder_award_id":"61890964","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5800071179","display_name":"\u57fa\u4e8e\u6d4b\u5ea6\u4fdd\u6301\u548c\u4efb\u52a1\u9a71\u52a8\u7684\u975e\u76d1\u7763\u6ce2\u6bb5\u9009\u62e9\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1532610010","https://openalex.org/W1555549210","https://openalex.org/W1582058549","https://openalex.org/W1902027874","https://openalex.org/W2029786966","https://openalex.org/W2032944446","https://openalex.org/W2063069198","https://openalex.org/W2098295833","https://openalex.org/W2101837437","https://openalex.org/W2114486983","https://openalex.org/W2117741752","https://openalex.org/W2118246710","https://openalex.org/W2127062304","https://openalex.org/W2140219630","https://openalex.org/W2140977511","https://openalex.org/W2157321686","https://openalex.org/W2163547919","https://openalex.org/W2551961488","https://openalex.org/W2566771666","https://openalex.org/W2741786247","https://openalex.org/W2894115892","https://openalex.org/W2981450335","https://openalex.org/W3009562877","https://openalex.org/W3035015656","https://openalex.org/W3036007026","https://openalex.org/W3042747521","https://openalex.org/W3044581396","https://openalex.org/W3158091052","https://openalex.org/W3166679963","https://openalex.org/W3170878188","https://openalex.org/W4285066575","https://openalex.org/W4285199914","https://openalex.org/W4285223668","https://openalex.org/W4285274437","https://openalex.org/W4286384741","https://openalex.org/W4292826027","https://openalex.org/W6634825034"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2890371384","https://openalex.org/W2315521504","https://openalex.org/W2006559622","https://openalex.org/W2040756827","https://openalex.org/W2138418872","https://openalex.org/W2898368675"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,54],"could":[2],"provide":[3],"decomposition":[4],"for":[5,33,93],"small":[6],"units":[7],"in":[8,26,117,190],"hyperspectral":[9,27],"image,":[10],"allowing":[11],"accurate":[12],"analysis":[13],"of":[14,52,76,86,136,145,160],"ground":[15],"objects.":[16],"Unfortunately,":[17],"interference":[18],"such":[19],"as":[20],"noise":[21,171],"and":[22,58,67,89,95,101,138,142,157,172,180],"spectral":[23,53,57,173],"variability":[24],"prevalent":[25],"data":[28,64,131,140,182],"poses":[29],"a":[30,39,70,84],"serious":[31],"challenge":[32],"it.":[34],"Accordingly,":[35],"this":[36],"paper":[37],"proposes":[38],"spectral-spatial":[40],"anti-interference":[41],"nonnegative":[42],"matrix":[43],"factorization":[44],"(NMF)":[45],"algorithm":[46],"(SSAINMF),":[47],"which":[48,165],"improves":[49],"the":[50,62,74,98,102,118,123,134,143,163,167,184],"performance":[51],"from":[55],"both":[56],"spatial":[59,170],"perspectives.":[60],"Specifically,":[61],"original":[63,99],"is":[65,111],"analyzed":[66],"transformed":[68],"into":[69],"statistical":[71],"domain":[72,100,120],"where":[73],"information":[75,147],"each":[77,115],"dimension":[78,116],"can":[79],"be":[80],"re-expressed,":[81],"followed":[82],"by":[83,127],"proof":[85],"restricted":[87,90],"isometric":[88],"isospectral":[91],"properties":[92],"endmembers":[94],"abundances":[96,161],"between":[97],"transformation":[103,119],"domain.":[104],"To":[105],"obtain":[106],"more":[107],"reliable":[108],"endmembers,":[109],"weighting":[110],"then":[112],"applied":[113],"to":[114,130,153,169],"depending":[121],"on":[122,178],"priority":[124],"coefficients":[125],"quantified":[126],"their":[128],"contribution":[129],"representation,":[132],"with":[133,194],"influence":[135],"anomalous":[137],"noisy":[139],"weakened":[141],"priorities":[144],"low-rank":[146],"emphasized.":[148],"Finally,":[149],"superpixels":[150],"are":[151],"exploited":[152],"induce":[154],"local":[155],"similarity":[156],"structural":[158],"sparsity":[159],"within":[162],"neighborhood,":[164],"reduces":[166],"sensitivity":[168],"variability.":[174],"From":[175],"experimental":[176],"results":[177],"synthetic":[179],"real":[181],"sets,":[183],"proposed":[185],"SSAINMF":[186],"has":[187],"demonstrated":[188],"effectiveness":[189],"decomposing":[191],"mixed":[192],"pixels,":[193],"better":[195],"robustness.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
