{"id":"https://openalex.org/W3129363298","doi":"https://doi.org/10.1109/igarss39084.2020.9324094","title":"Spectral-Spatial Hyperspectral Unmixing in Transformed Domains","display_name":"Spectral-Spatial Hyperspectral Unmixing in Transformed Domains","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129363298","doi":"https://doi.org/10.1109/igarss39084.2020.9324094","mag":"3129363298"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101930677","display_name":"Chenguang Xu","orcid":"https://orcid.org/0000-0003-4210-8805"},"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":"Chenguang Xu","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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":"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":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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":"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":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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/A5101430662","display_name":"Zhaoming Wu","orcid":"https://orcid.org/0000-0002-1429-6653"},"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"]},{"id":"https://openalex.org/I4210093776","display_name":"DHC Software (China)","ror":"https://ror.org/00kn8e190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoming Wu","raw_affiliation_strings":["Ahead software co., LTD, Nanchang, China","Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ahead software co., LTD, Nanchang, China","institution_ids":["https://openalex.org/I4210093776"]},{"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/A5114141024","display_name":"Jiaheng Yang","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":"Jiaheng Yang","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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/A5112214110","display_name":"Guang Long","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":"Guang Long","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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/A5065047415","display_name":"Longfei Cao","orcid":"https://orcid.org/0000-0001-6832-4886"},"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":"Longfei Cao","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China"],"raw_orcid":null,"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5423,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64241193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"2169","last_page":"2172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9387610554695129},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6570699214935303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.644867479801178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6316579580307007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621769905090332},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6108261942863464},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44045987725257874},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4370419979095459},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3649829030036926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2853066325187683},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2625400424003601},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08599594235420227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06870421767234802}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9387610554695129},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6570699214935303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.644867479801178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316579580307007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621769905090332},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6108261942863464},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44045987725257874},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4370419979095459},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3649829030036926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2853066325187683},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2625400424003601},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08599594235420227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06870421767234802}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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"}],"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":19,"referenced_works":["https://openalex.org/W1964570608","https://openalex.org/W1981939910","https://openalex.org/W1983772857","https://openalex.org/W1999788007","https://openalex.org/W2004207873","https://openalex.org/W2027878671","https://openalex.org/W2032944446","https://openalex.org/W2040325979","https://openalex.org/W2061815035","https://openalex.org/W2081834705","https://openalex.org/W2105536892","https://openalex.org/W2125298866","https://openalex.org/W2277598686","https://openalex.org/W2319224732","https://openalex.org/W2323672905","https://openalex.org/W2340706123","https://openalex.org/W2792167075","https://openalex.org/W3100335572","https://openalex.org/W6675962237"],"related_works":["https://openalex.org/W2738168532","https://openalex.org/W4367471608","https://openalex.org/W2037328426","https://openalex.org/W2054439167","https://openalex.org/W2889956472","https://openalex.org/W2044594927","https://openalex.org/W2791078257","https://openalex.org/W2539574252","https://openalex.org/W4287750516","https://openalex.org/W2012636591"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,17,51,61,86,92,121,128],"is":[2,18,71],"a":[3,19,34,41,84],"technique":[4],"for":[5],"selecting":[6],"endmembers":[7],"(pure":[8],"spectral":[9,38,43],"constituents)":[10],"and":[11,75,103,120],"their":[12],"abundances":[13],"(proportions).":[14],"Recently,":[15],"sparse":[16,50,60,91,127],"semi-supervised":[20],"method":[21,52,87],"in":[22,28,65,93],"which":[23],"mixed":[24],"pixels":[25],"are":[26],"represented":[27],"the":[29,49,69,94,100,105,113],"form":[30],"of":[31,33,36,58],"combinations":[32],"number":[35],"pure":[37],"signatures":[39],"from":[40],"large":[42],"library.":[44],"Compared":[45],"with":[46,124],"other":[47,125],"methods,":[48],"exhibits":[53],"significant":[54],"advantages.":[55],"However,":[56],"most":[57],"these":[59],"methods":[62],"were":[63],"implemented":[64],"spatial":[66],"domain,":[67],"where":[68],"information":[70],"too":[72],"scattered,":[73],"redundant":[74],"susceptible":[76],"to":[77,98],"noise.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"new":[85],"called":[88],"spectral-spatial":[89],"weighted":[90],"transform":[95],"domain":[96],"(SSTSU)":[97],"impose":[99],"abundance":[101],"sparsity":[102],"enhance":[104],"anti-noise":[106,118],"performance.":[107],"The":[108],"experimental":[109],"results":[110,122],"show":[111],"that":[112],"proposed":[114],"algorithm":[115],"has":[116],"better":[117],"performance":[119],"compared":[123],"advanced":[126],"methods.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}