{"id":"https://openalex.org/W3083760513","doi":"https://doi.org/10.1109/lgrs.2020.3019427","title":"Weighted Collaborative Sparse and <i>L</i> <sub>1/2</sub> Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing","display_name":"Weighted Collaborative Sparse and <i>L</i> <sub>1/2</sub> Low-Rank Regularizations With Superpixel Segmentation for Hyperspectral Unmixing","publication_year":2020,"publication_date":"2020-09-03","ids":{"openalex":"https://openalex.org/W3083760513","doi":"https://doi.org/10.1109/lgrs.2020.3019427","mag":"3083760513"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3019427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3019427","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","Henan Key Laboratory of Food Safety Data Intelligence, Zhengzhou University of Light Industry, Zhengzhou, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Henan Key Laboratory of Food Safety Data Intelligence, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274712","display_name":"Feiyang Wu","orcid":"https://orcid.org/0000-0003-3494-4205"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Wu","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053709863","display_name":"Chengxun He","orcid":"https://orcid.org/0009-0007-0989-7511"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxun He","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038941441","display_name":"Tianming Zhan","orcid":"https://orcid.org/0000-0001-5030-3032"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Zhan","raw_affiliation_strings":["School of Information Engineering, Nanjing Audit University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5030-3032","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081284604","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-8503-4063"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Information and Engineering, Yangzhou University, Yangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8503-4063","affiliations":[{"raw_affiliation_string":"School of Information and Engineering, Yangzhou University, Yangzhou, China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017220352","display_name":"Daopan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daopan Zhang","raw_affiliation_strings":["Research Department, Nanjing Audit University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Department, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3427,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89411103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.8033390045166016},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.716558039188385},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5382395386695862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5318690538406372},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.521287202835083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5002610683441162},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49928951263427734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49131909012794495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4748832583427429},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4421478807926178},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.42426198720932007},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.24070298671722412}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8033390045166016},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.716558039188385},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5382395386695862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5318690538406372},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.521287202835083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5002610683441162},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49928951263427734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49131909012794495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4748832583427429},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4421478807926178},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.42426198720932007},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.24070298671722412},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3019427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3019427","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1009658786","display_name":null,"funder_award_id":"61976117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3059471314","display_name":null,"funder_award_id":"BK20191409","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4772862756","display_name":null,"funder_award_id":"19KJA360001","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6143281916","display_name":"\u57fa\u4e8e\u9886\u57df\u81ea\u9002\u5e94\u7684\u5bf9\u6297\u8fc1\u79fb\u76ee\u6807\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1923622064","https://openalex.org/W1964570608","https://openalex.org/W2027878671","https://openalex.org/W2057107264","https://openalex.org/W2166864699","https://openalex.org/W2335197470","https://openalex.org/W2563506500","https://openalex.org/W2770508708","https://openalex.org/W2884781614","https://openalex.org/W2971486651","https://openalex.org/W2980054274","https://openalex.org/W2991135466","https://openalex.org/W3012548728","https://openalex.org/W3148151826"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W3034864990"],"abstract_inverted_index":{"In":[0,81],"this":[1,39],"letter,":[2],"using":[3],"the":[4,43,62,73,83,95,117,120],"sparse":[5,11,65],"unmixing":[6],"framework,":[7],"a":[8],"weighted":[9,63],"collaborative":[10,64],"and$L_{1/2}$low-rank":[12,67],"regularization":[13,68],"with":[14],"superpixel":[15,29],"segmentation":[16,30],"method":[17,24,97,121],"is":[18,41,88],"proposed":[19,96,122],"for":[20,38,54],"hyperspectral":[21],"unmixing.":[22],"The":[23,36,114],"outlined":[25],"here":[26],"first":[27],"uses":[28],"to":[31,71],"obtain":[32],"local":[33],"homogeneous":[34,56],"regions.":[35],"reason":[37],"approach":[40],"that":[42],"shape":[44],"and":[45,75,98,109],"size":[46],"of":[47,78,119],"superpixels":[48],"are":[49,52],"adaptive,":[50],"which":[51],"better":[53],"obtaining":[55],"regions":[57],"than":[58],"square":[59],"patches.":[60],"Next,":[61],"term":[66],"were":[69,102],"utilized":[70],"exploit":[72],"spatial":[74],"spectral":[76],"correlation":[77],"each":[79],"superpixel.":[80],"addition,":[82],"smoothness":[84],"between":[85],"adjacent":[86],"pixels":[87],"enforced":[89],"by":[90],"total":[91],"variation":[92],"regularization.":[93],"Finally,":[94],"several":[99],"state-of-the-art":[100],"methods":[101],"tested":[103],"on":[104],"two":[105,110],"simulated":[106],"data":[107,112],"sets":[108],"real":[111],"sets.":[113],"results":[115],"demonstrate":[116],"superiority":[118],"here.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":17}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
