{"id":"https://openalex.org/W3031385348","doi":"https://doi.org/10.1109/tgrs.2020.2994260","title":"Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery","display_name":"Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery","publication_year":2020,"publication_date":"2020-05-25","ids":{"openalex":"https://openalex.org/W3031385348","doi":"https://doi.org/10.1109/tgrs.2020.2994260","mag":"3031385348"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2994260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2994260","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/A5100348633","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-7713-9663"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053931437","display_name":"Ruyi Feng","orcid":"https://orcid.org/0000-0002-5709-690X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyi Feng","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5709-690X","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009116003","display_name":"Lizhe Wang","orcid":"https://orcid.org/0000-0003-2766-0845"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhe Wang","raw_affiliation_strings":["Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-0845","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Intelligent Geoinformation Processing, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.6695,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.98095084,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"59","issue":"1","first_page":"629","last_page":"647"},"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":0.9939000010490417,"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":0.9891999959945679,"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":0.9115771055221558},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6502922773361206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6249064207077026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6166759133338928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950081944465637},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5574008822441101},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4731755554676056},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.44118601083755493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3257582485675812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1018800437450409}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9115771055221558},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6502922773361206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6249064207077026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166759133338928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950081944465637},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5574008822441101},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4731755554676056},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.44118601083755493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3257582485675812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1018800437450409},{"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/tgrs.2020.2994260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2994260","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":[],"awards":[{"id":"https://openalex.org/G1596133006","display_name":null,"funder_award_id":"U1711266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2846680537","display_name":null,"funder_award_id":"41571413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6247301294","display_name":null,"funder_award_id":"41701429","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":67,"referenced_works":["https://openalex.org/W1181348626","https://openalex.org/W1582058549","https://openalex.org/W1856317893","https://openalex.org/W1873031189","https://openalex.org/W1963659868","https://openalex.org/W1964570608","https://openalex.org/W2005818237","https://openalex.org/W2006262045","https://openalex.org/W2016546886","https://openalex.org/W2018990310","https://openalex.org/W2027878671","https://openalex.org/W2032345535","https://openalex.org/W2050041778","https://openalex.org/W2060384859","https://openalex.org/W2078204800","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2103972604","https://openalex.org/W2104125540","https://openalex.org/W2107861471","https://openalex.org/W2114486983","https://openalex.org/W2118246710","https://openalex.org/W2125298866","https://openalex.org/W2129131372","https://openalex.org/W2153753491","https://openalex.org/W2156401956","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2164452299","https://openalex.org/W2247723941","https://openalex.org/W2292477969","https://openalex.org/W2292987679","https://openalex.org/W2324784787","https://openalex.org/W2506064001","https://openalex.org/W2551961488","https://openalex.org/W2555818261","https://openalex.org/W2566771666","https://openalex.org/W2604977491","https://openalex.org/W2605904273","https://openalex.org/W2624915162","https://openalex.org/W2741786247","https://openalex.org/W2766528611","https://openalex.org/W2773194520","https://openalex.org/W2773850265","https://openalex.org/W2792167075","https://openalex.org/W2792992156","https://openalex.org/W2801811332","https://openalex.org/W2802876668","https://openalex.org/W2884276099","https://openalex.org/W2896057526","https://openalex.org/W2898381489","https://openalex.org/W2900199428","https://openalex.org/W2902067790","https://openalex.org/W2910655660","https://openalex.org/W2964146769","https://openalex.org/W2967530387","https://openalex.org/W2972981284","https://openalex.org/W2976068290","https://openalex.org/W2991135466","https://openalex.org/W3099180803","https://openalex.org/W3099737951","https://openalex.org/W3099831940","https://openalex.org/W3103872874","https://openalex.org/W3122463936","https://openalex.org/W3124270737","https://openalex.org/W4233760599","https://openalex.org/W6634825034"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Sparse":[0],"unmixing,":[1],"as":[2,24,152,230,232],"a":[3,25,29,37,52,97,143,178,186,233],"semisupervised":[4],"unmixing":[5,15,56,82,100,121,262],"method,":[6],"has":[7],"attracted":[8],"extensive":[9],"attention.":[10],"The":[11],"process":[12],"of":[13,21,28,32,66,78,116,208,220,244],"sparse":[14,55,81,99,120,261],"involves":[16],"treating":[17],"the":[18,46,63,76,79,114,117,124,134,138,149,158,169,174,201,206,218,221,241,245,250,254,259],"mixed":[19],"pixels":[20,153],"hyperspectral":[22,67,236],"imagery":[23,237],"linear":[26],"combination":[27],"small":[30],"number":[31],"spectral":[33,39,139],"signatures":[34],"(endmembers)":[35],"in":[36,248],"standard":[38],"library,":[40],"associated":[41],"with":[42,258],"fractional":[43],"abundances.":[44],"Over":[45],"past":[47],"ten":[48],"years,":[49],"to":[50,60,87,112,131,184,199,216],"achieve":[51,185],"better":[53],"performance,":[54],"algorithms":[57],"have":[58,157],"begun":[59],"focus":[61],"on":[62,148,225],"spatial":[64,72,95,135,202],"information":[65,73],"images.":[68],"However,":[69],"less":[70],"accurate":[71,190],"greatly":[74],"limits":[75],"performance":[77,115,243],"spatial-regularization-based":[80,119],"algorithms.":[83],"In":[84,123,141],"this":[85,89],"article,":[86],"overcome":[88],"limitation":[90],"and":[91,106,137,161,165,189,204,253],"obtain":[92],"more":[93,187],"reliable":[94],"information,":[96],"novel":[98],"algorithm":[101],"named":[102],"superpixel-based":[103],"reweighted":[104,179],"low-rank":[105,144,170,191,194],"total":[107],"variation":[108],"(SUSRLR-TV)":[109],"is":[110,129,146,182,196,214],"proposed":[111,125,246],"enhance":[113,200],"traditional":[118,175],"approaches.":[122],"approach,":[126],"superpixel":[127,156],"segmentation":[128],"adopted":[130],"consider":[132],"both":[133,249],"proximity":[136],"similarity.":[140],"addition,":[142],"constraint":[145],"enforced":[147],"objective":[150],"function":[151],"within":[154],"each":[155],"same":[159],"endmembers":[160],"similar":[162],"abundance":[163,222],"values,":[164],"they":[166],"naturally":[167],"satisfy":[168],"constraint.":[171,192],"Differing":[172],"from":[173],"nuclear":[176,180],"norm,":[177],"norm":[181],"used":[183,198],"efficient":[188],"Meanwhile,":[193],"consideration":[195],"also":[197],"continuity":[203],"suppress":[205],"effects":[207],"random":[209],"noise.":[210],"Furthermore,":[211],"TV":[212],"regularization":[213],"introduced":[215],"promote":[217],"smoothness":[219],"maps.":[223],"Experiments":[224],"three":[226],"simulated":[227],"data":[228,238],"sets,":[229],"well":[231],"well-known":[234],"real":[235],"set,":[239],"confirm":[240],"superior":[242],"method":[247],"qualitative":[251],"assessment":[252],"quantitative":[255],"evaluation,":[256],"compared":[257],"state-of-the-art":[260],"methods.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
